[FreeCoursesOnline.Me] Udacity - Data Analyst Nanodegree v1.0.0
File List
- Part 12-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-qRv1wrtgsmM.mp4 113.4 MB
- Part 12-Module 01-Lesson 05_Interview Practice/05. Maximum Difference in an Integer Array-i3RTW83wI1Q.mp4 107.2 MB
- Part 12-Module 02-Lesson 08_Technical Interview - Python/07. Coding-zhQYREUI8Z0.mp4 105.0 MB
- Part 12-Module 02-Lesson 08_Technical Interview - Python/08. Coding 2-qEteyPNRSwU.mp4 104.6 MB
- Part 11-Module 01-Lesson 06_Datasets and Questions/01. Introduction-TdopVWltgqM.mp4 87.9 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/19. Geospatial Indexes-iGnSNfzaLf4.mp4 67.9 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/11. Unwind Operator-6wBjB3Ca5H4.mp4 58.5 MB
- Part 12-Module 01-Lesson 05_Interview Practice/03. Free Throw Probability-Zyq0FQ0XO3o.mp4 56.6 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/09. Single Metric Example-LCZG4wlEFXE.mp4 53.7 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/29. Lessons Learned-_dnp6ItYOdA.mp4 52.9 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/49. The Future of Data Visualizations--CWbVBYBYWU.mp4 52.7 MB
- Part 12-Module 01-Lesson 05_Interview Practice/04. Query a SQL database-UVSFLWdAKl4.mp4 51.2 MB
- Part 13-Module 01-Lesson 03_Problem Set Visualization Fundamentals/01. Data Visualization Resources-OYl-saB2vWE.mp4 50.5 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/15. JSON Playground-la_rboWWjQI.mp4 50.0 MB
- Part 12-Module 01-Lesson 03_Interview Fails/04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.mp4 49.7 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/16. Sean's NFL Fan Sentiment Study-ahaxt6UKxQw.mp4 49.6 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/16. Analyzing Multiple Metrics-mbHnQ_EdrZ8.mp4 49.6 MB
- Part 04-Module 03-Lesson 01_Investigate a Dataset/05. Investigate A Dataset Project Walkthrough Final-OtDZCYxbHB4.mp4 49.4 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/23. Learning Effects-nFpIDWPUDm8.mp4 49.0 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/09. Using CSV Module--S4vc6tvxoI.mp4 48.8 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/17. Indexes-tSgPhxZdhLk.mp4 48.0 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/09. Other Techniques, Part 2-siuolDaB4eU.mp4 47.1 MB
- Part 03-Module 01-Lesson 11_L4 Variability/32. SD Social Networkers-cy8BwWl36Q4.mp4 45.2 MB
- Part 03-Module 01-Lesson 07_Google Spreadsheet Tutorial/01. Tutorial-c3yK3OhuNvo.mp4 45.2 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/03. Example of Aggregation Framework-pOJAW4jTjr0.mp4 44.8 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/18. Using Indexes-vL9FcO_9dCA.mp4 44.6 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/22. Variability Example-gs4qKb-0Lfs.mp4 44.5 MB
- Part 12-Module 01-Lesson 05_Interview Practice/02. Describe your latest data project-cXluuqCVg18.mp4 42.1 MB
- Part 05-Module 01-Lesson 05_Data Quality/08. Example Using our Blueprint-G3RjHqqQSgE.mp4 41.9 MB
- Part 05-Module 01-Lesson 05_Data Quality/18. Auditing Uniformity-cF0AEW4SIUM.mp4 41.0 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/12. Metric Definition and Data Capture-qtVm_stSHuM.mp4 40.9 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/13. Group Accumulation Operators-cleAY1-Jboc.mp4 40.8 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/13. Metric Definition Example-xOSypbjALh4.mp4 40.8 MB
- Part 12-Module 01-Lesson 02_Practice Behavioral Questions/06. A Problem and How You Dealt With It-7IKqdW30GvQ.mp4 40.7 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/07. Parsing XML-SIsG0HYYwY4.mp4 40.4 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/07. Sanity Checking Wrapup-rCAYdZk5O2E.mp4 40.2 MB
- Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/02. Familiarize Yourself with the Dataset-JyX6j00Q2Cg.mp4 40.0 MB
- Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/02. Familiarize Yourself with the Dataset-JyX6j00Q2Cg.mp4 40.0 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/14. Filtering and Segmenting-DETCNMqnnKw.mp4 38.7 MB
- Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/10. Reviewing our Street Name Audit-pH3VusOq9tc.mp4 38.3 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/30. Lessons Learned, Part 2-1JRk6dgQhkE.mp4 38.3 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/25. Dot Notation-OcPW6xp8DfE.mp4 37.9 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/09. Project Operator-_kupbxrZBds.mp4 37.4 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/24. Empirical Variability-Wzs1KFldiUE.mp4 37.1 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/03. Unit of Diversion Example-W4Xno_vJvZM.mp4 36.7 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/16. Summary Metrics-ghMD3AfjLZc.mp4 36.2 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/03. Metric Definition Overview, Part 2-0DyLzS2ux7g.mp4 35.8 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/11. Target Population-HO1Doq8PiCI.mp4 35.6 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/15. Multiple Stages Using a Given Operator-0TV8kTw9-HM.mp4 35.3 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/04. Consistency of Diversion-im8-LLU5J_Y.mp4 35.0 MB
- Part 11-Module 01-Lesson 06_Datasets and Questions/03. Accuracy vs. Training Set Size-9w1Yi5nMNgw.mp4 34.8 MB
- Part 09-Module 01-Lesson 01_What is EDA/08. Aude Explores Coordinated Migration-7ihp6ofAJG8.mp4 34.7 MB
- Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/08. Auditing Street Names-c0IcUiF_kXs.mp4 34.7 MB
- Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/09. Auditing Street Names-c0IcUiF_kXs.mp4 34.7 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/03. Intro to AB Testing-ASQubLvGuxY.mp4 34.5 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/25. Empirical Variability Sanity Checking-6vxdVWIA6dI.mp4 34.3 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/03. XML Design Principles-eQpSC0IFhv0.mp4 34.3 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/18. Gotchas Changes Over Time-P7Hso-EoWvA.mp4 34.1 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/04. Define Constructs-J2kY_Xf7i1E.mp4 34.0 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/04. Define Constructs-J2kY_Xf7i1E.mp4 34.0 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/26. Up and Down the Visualization Spectrum-NdVf2bY8OnM.mp4 33.6 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/24. Lessons Learned-GonjL0GbNiw.mp4 33.3 MB
- Part 12-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-Uy89Ff49pRc.mp4 33.3 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/05. Refining the Customer Funnel-L2NEk4jvlcY.mp4 33.3 MB
- Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/05. Iterating through Ways Tags-GYhOEJ8EXkg.mp4 32.7 MB
- Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/06. Iterating through Ways Tags-GYhOEJ8EXkg.mp4 32.7 MB
- Part 10-Module 01-Lesson 01_Develop Your Personal Brand/04. Meet Chris-0ccflD9x5WU.mp4 32.5 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/18. Sensitivity and Robustness-T2QI3p0yDNk.mp4 32.5 MB
- Part 11-Module 01-Lesson 13_PCA/31. Eigenfaces Code-LgLYw-G4sLQ.mp4 32.4 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/02. Standard Error-GTsnxTCjmcM.mp4 32.2 MB
- Part 05-Module 01-Lesson 05_Data Quality/10. Wikipedia Infobox Dataset-hpyNAYJODqw.mp4 32.2 MB
- Part 12-Module 02-Lesson 08_Technical Interview - Python/05. Brainstorming-LJFYhMDCCsU.mp4 31.7 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/08. Defining Metrics Other Techniques-gEO8il9GU3M.mp4 31.6 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/19. Sensitivity and Robustness Example-_I7m7Y4hBOs.mp4 31.1 MB
- Part 12-Module 02-Lesson 08_Technical Interview - Python/09. Debugging-Bz1tlvkql9Q.mp4 31.0 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/20. Duration vs. Exposure-MsByTo7FRgs.mp4 30.9 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/06. Checking Invariants, Part 2-05jVh4kUbHU.mp4 30.8 MB
- Part 11-Module 01-Lesson 14_Validation/10. Practical Advice for K-Fold in sklearn-COVRSk0GDEE.mp4 30.5 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/12. Intro to JSON-Fi7RjhBLobY.mp4 28.9 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/07. How to Lie with Bar Charts-75c7a4R4pZ0.mp4 28.9 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/08. Intro to PyMongo-h6M4x9aXx5g.mp4 28.8 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/25. Demystifying D3-y7QK8XMHyDQ.mp4 28.5 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/02. Metric Definition Overview-pOxyL1lwBIw.mp4 28.4 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/26. Empirical Confidence Intervals-ca8GQmr7B8g.mp4 28.4 MB
- Part 05-Module 01-Lesson 05_Data Quality/11. Auditing a Cross-Field Constraint-Y7TNXALXut8.mp4 28.4 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/10. Intro to XLRD-TcWtpvLSoG0.mp4 27.6 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/01. Independent Samples-K25Xtqr2WvI.mp4 27.6 MB
- Part 13-Module 01-Lesson 06_Problem Set Chart Types and Axes/13. Scott's Advice to Break into Data Vis-v5ywQMRCxMg.mp4 27.6 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/29. Removing Documents-oFWNOvxuIRQ.mp4 27.5 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/15. Multiple Metrics Example 3-XByoblkCgfE.mp4 27.5 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/10. Single Metric Gotchas-WrfWFLiFeMU.mp4 27.5 MB
- Part 05-Module 01-Lesson 05_Data Quality/14. Auditing Accuracy 2-5xY3sCBHkOk.mp4 27.3 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/04. The Aggregation Pipeline-0sl_mbV-fho.mp4 26.8 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/07. History of AB Testing-NNiKGao0xnk.mp4 26.7 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/29. Formula for Location of Median-lNYLU1b4qoM.mp4 26.6 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/10. Inter- vs. Intra-User Experiments-EGE8ddtWIeo.mp4 26.1 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/09. Single Metric Example--QwMdwqUq9c.mp4 25.9 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/27. Set Unset-bgOky14w77Q.mp4 25.9 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/22. Simulation Applet-yu4mdXybrts.mp4 25.8 MB
- Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/03. Iterative Parsing-pxUvIP4PQt0.mp4 25.8 MB
- Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/03. Iterative Parsing-pxUvIP4PQt0.mp4 25.8 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/23. McDonald's-29Vf6PytVbA.mp4 25.5 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/23. McDonald's-29Vf6PytVbA.mp4 25.5 MB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/05. DAP Overview-qdV4sifMmWI.mp4 25.4 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/28. Joins in D3-rDjOINfKftY.mp4 25.4 MB
- Part 05-Module 01-Lesson 05_Data Quality/15. Auditing Completeness-PMbcv9AYQT4.mp4 25.4 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/17. Drawing Conclusions-CZQ-nZyUG7g.mp4 25.3 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/01. ML in The Google Self-Driving Car-lL16AQItG1g.mp4 25.1 MB
- Part 07-Module 01-Lesson 01_GitHub Review/13. Interview with Art - Part 3-M6PKr3S1rPg.mp4 25.0 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/28. Server Requests and D3-Lx9dhgMZO1s.mp4 24.9 MB
- Part 18-Module 03-Lesson 01_Assessing Data/15. Quality Programatic Assessment 1-l-FhDkQRclA.mp4 24.9 MB
- Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/09. Reviewing our Street Name Audit-eIvm5rEMZGY.mp4 24.7 MB
- Part 12-Module 02-Lesson 03_Searching and Sorting/04. Recursion-_aI2Jch6Epk.mp4 24.7 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/08. Report Results-xNbzHOnSx5Q.mp4 24.6 MB
- Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/04. Ways in the Open Street Map XML-1OwIbj9dcLo.mp4 24.5 MB
- Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/05. Ways in the Open Street Map XML-1OwIbj9dcLo.mp4 24.5 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/02. Case Study US Unemployment-R6Nk8NsEzUA.mp4 24.0 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 23.7 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/20. Regex Operator-MbJfmI7kzQI.mp4 23.6 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/05. Fundamentals of XML-Ti8K9FmNW1w.mp4 23.4 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/15. Extracting Entities-aJD8WJa3-9A.mp4 23.4 MB
- Part 11-Module 01-Lesson 09_Clustering/12. Sklearn-3zHUAXcoZ7c.mp4 23.3 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/08. Unit of Analysis vs. Unit of Diversion-rzim0wu_0kM.mp4 23.1 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/13. Errors in Data Collection-xcYDjXpYbs0.mp4 23.0 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/11. Other Techniques Example-z1UX9i9_piQ.mp4 22.9 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/46. World Cup Code and Narrative Recap-lnHEvGeech0.mp4 22.9 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/29. Model Diagnostics In Python-1Z4eorbfOOc.mp4 22.8 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/15. Filtering and Segmenting Example-WgM3cBEtkqg.mp4 22.3 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/05. Frances Gerety-GXT_vXBA0vQ.mp4 22.1 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-FV_hc3MzS_8.mp4 22.1 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/06. Aggregation Operators 1-mRNyMEoCoY0.mp4 22.0 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-b2zvrFL8AUw.mp4 22.0 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/15. Filtering and Segmenting Example-XTS6m5_3fdU.mp4 22.0 MB
- Part 11-Module 01-Lesson 12_Feature Selection/14. Balancing Error with Number of Features-IwiIFMcDwoA.mp4 21.9 MB
- Part 07-Module 01-Lesson 01_GitHub Review/04. Interview with Art - Part 1-ClLYamtaO-Q.mp4 21.8 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 21.6 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/28. Multi Update-tuXc0Ycy_yM.mp4 21.6 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/04. Statistical Significance-kpdwHL54eys.mp4 21.4 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/17. Summary Metrics Example--DqU-ARfQr4.mp4 21.4 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/13. Multiple Metrics Example-60IGcSho56o.mp4 21.4 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/19. Lessons Learned-5JjCVTc0FGk.mp4 21.1 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/15. Properties of the Mean-AqlvTMZg6HY.mp4 21.1 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/06. Flexible Schema-6a-YgbrEACk.mp4 21.1 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/07. Design Code Tell-qsWz7r8muII.mp4 21.0 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/10. More o' Mode!-74mudn321tA.mp4 21.0 MB
- Part 09-Module 01-Lesson 01_What is EDA/03. Why learn EDA-YM68DrqJw1I.mp4 21.0 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4 21.0 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/02. Sanity Checks-OVnlC_T3EpI.mp4 21.0 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/26. Klout-3q0oPuWxFpA.mp4 20.9 MB
- Part 11-Module 01-Lesson 13_PCA/28. PCA in sklearn-SBYdqlLgbGk.mp4 20.9 MB
- Part 11-Module 01-Lesson 13_PCA/23. PCA for Feature Transformation-8kUPRUEMCA8.mp4 20.8 MB
- Part 12-Module 02-Lesson 02_List-Based Collections/11. Queues-XAbzlilAHZw.mp4 20.7 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/10. Overlaying Summaries with Raw Data-O9d9dKyHtIc.mp4 20.7 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/15. SD of Karma Points per Post-uCRzrlaA8mg.mp4 20.6 MB
- Part 10-Module 01-Lesson 01_Develop Your Personal Brand/02. Elevator Pitch-S-nAHPrkQrQ.mp4 20.6 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/19. Between 10 and 16-4QIEdzv6g6w.mp4 20.6 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/23. CI Bounds-6MdZ5NUfen0.mp4 20.6 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/20. How Scales Work-4zqm8dz7Z-k.mp4 20.5 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/06. Critical Regions-UF3japjNx98.mp4 20.4 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/31. Layout and Scales-BQWN9ImjUFE.mp4 20.4 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/18. How to Decrease Experiment Size-MLzRdgcFYQQ.mp4 20.4 MB
- Part 12-Module 01-Lesson 05_Interview Practice/07. Jimmy's Analysis of the Interview-wg535YU4jFw.mp4 20.3 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/18. Gaussian NB Example-wpnDwiqTCJA.mp4 20.3 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/17. Range Queries-6r5Xc-_lhEI.mp4 20.2 MB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/01. What is Tableau-LeCpU8HvVg8.mp4 20.1 MB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/01. What is Tableau-LeCpU8HvVg8.mp4 20.1 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/04. David's Data Wrangling Example-TN-CWy3GK44.mp4 20.0 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/10. Techniques to Gather Additional Data-6mTsvU0ML94.mp4 20.0 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/09. Unit of Analysis vs. Diversion Example-ycbXO4xBEVw.mp4 20.0 MB
- Part 11-Module 01-Lesson 05_Choose Your Own Algorithm/10. Welcome to the end of the lesson-nWFJ_eOU27I.mp4 19.9 MB
- Part 21-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4 19.9 MB
- Part 12-Module 02-Lesson 03_Searching and Sorting/06. Intro to Sorting-Z6yuIen71zM.mp4 19.9 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/23. Nonparametric Answers-Z0QcZHrflmc.mp4 19.7 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/19. Engagement Ratio-EdIcXVIYX88.mp4 19.7 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/10. 95 CI with Exact Z-Scores-apqUAtnsLZE.mp4 19.6 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/17. More Work Than We Thought-vgJ0ZlxzSiw.mp4 19.5 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/02. Data Modeling in MongoDB-6sDkIE_nAGI.mp4 19.4 MB
- Part 11-Module 01-Lesson 12_Feature Selection/10. Feature Selection in TfIdf Vectorizer-GdsLRKjjKLw.mp4 19.3 MB
- Part 11-Module 01-Lesson 14_Validation/09. K-Fold CV in sklearn-QSYMwFbE7PA.mp4 19.3 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/14. Helpful Symbols-w4_8YCp-9fI.mp4 19.2 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/26. Updates-mpMHJQalRck.mp4 19.1 MB
- Part 11-Module 01-Lesson 04_Decision Trees/33. Bias-Variance Dilemma-W5uUYnSHDhM.mp4 19.1 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/14. Population vs. Cohort Example-MXukXfzL59E.mp4 19.1 MB
- Part 18-Module 03-Lesson 01_Assessing Data/16. Quality Programatic Assessment 2 Solution-CWJZoi_Es84.mp4 19.0 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/14. Multiple Metrics Example 2-nTeQi9MjgiA.mp4 19.0 MB
- Part 21-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4 18.9 MB
- Part 09-Module 02-Lesson 01_Explore and Summarize Data/06. Explore And Summarize Data Walkthrough Final-_OwKKL6SI38.mp4 18.9 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/20. Practical, or Substantive, Significance-Q576t5aaZ34.mp4 18.9 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/07. What is a Projection-QjVNXfI8YRk.mp4 18.9 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/08. Single Metric Introduction-StP9L9f70EU.mp4 18.9 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/06. CSV Format-ra93hy88cok.mp4 18.8 MB
- Part 15-Module 01-Lesson 04_Telling Stories with Tableau/03. Digging deeper with Trina-i9xslfFp80g.mp4 18.8 MB
- Part 19-Module 01-Lesson 04_Making Dashboards Stories in Tableau/05. Tableau Dashboards Stories with Trina-i9xslfFp80g.mp4 18.8 MB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/01. t-Distribution-N6wKbV1DVos.mp4 18.8 MB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/07. DF - Sample SD-Jfk3egev9UM.mp4 18.8 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/06. Choosing Metrics-eAukkpVFl5c.mp4 18.8 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/04. NumPy Arrays-7GeiZ8IVZfE.mp4 18.8 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/05. NumPy Arrays-7GeiZ8IVZfE.mp4 18.8 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/04. Load D3 in the JavaScript Console-mGyo6dOf0So.mp4 18.6 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/03. Choosing Invariants-E1ePfjcVH3I.mp4 18.6 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/12. Target Population Example-XsyavvSGjLM.mp4 18.6 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/13. Population vs. Cohort-HC2dunMuVW4.mp4 18.5 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/17. Find 98 CI-L_JV4fbRAfA.mp4 18.5 MB
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- Part 12-Module 02-Lesson 01_Introduction and Efficiency/07. Efficiency-I-RASDPbDrI.mp4 18.4 MB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/05. How Does MLR Work-bvM6eUYyurA.mp4 18.4 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/20. Absolute or Relative Difference-TNcT_v2g3OQ.mp4 18.4 MB
- Part 12-Module 01-Lesson 02_Practice Behavioral Questions/08. Time When You Dealt With Failure-Qb4o_4hCuyg.mp4 18.4 MB
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- Part 14-Module 01-Lesson 05_Analyzing Results/11. Gotchas Simpson’s Paradox-GSPTcqNpab8.mp4 18.3 MB
- Part 21-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4 18.3 MB
- Part 08-Module 03-Lesson 01_Craft Your Cover Letter/05. Writing the Body-aK9Qnv3a6Wg.mp4 18.2 MB
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- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/07. Parsing CSV Files-hmhlyOVAVOs.mp4 18.1 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/06. Other Techniques-KsiyW6bPux8.mp4 18.0 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-CNpSrdnYvbo.mp4 18.0 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/11. Other Techniques Example-sOGuF3it6Ek.mp4 18.0 MB
- Part 05-Module 01-Lesson 05_Data Quality/07. A Blueprint for Cleaning-3S73cNbhuAk.mp4 17.8 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/24. How Does Number of Page Views Vary-gfuknvEP2ro.mp4 17.8 MB
- Part 01-Module 01-Lesson 01_Nanodegree Orientation/01. Welcome to the DA Nanodegree Program-FKcIJkTA3GI.mp4 17.7 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/02. Intro to XML-eIVifBVJQIw.mp4 17.6 MB
- Part 11-Module 01-Lesson 11_Text Learning/10. Stemming to Consolidate Vocabulary-gBwGPI0srBE.mp4 17.6 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/20. Top 5-tEmdl6zhvgA.mp4 17.6 MB
- Part 11-Module 01-Lesson 13_PCA/29. When to Use PCA-hJZHcmJBk1o.mp4 17.5 MB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/17. Multicollinearity VIFs-wbtrXMusDe8.mp4 17.5 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/03. Good Data Visualization-ePekYbKs60U.mp4 17.4 MB
- Part 10-Module 01-Lesson 01_Develop Your Personal Brand/01. Why Network-exjEm9Paszk.mp4 17.4 MB
- Part 21-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.mp4 17.4 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/15. Using mongoimport-JVYH9B6Obpg.mp4 17.4 MB
- Part 11-Module 01-Lesson 06_Datasets and Questions/04. Downloading Enron Data-TgkBAtaTqJk.mp4 17.4 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/11. Personal Data Visualization-NtFICAw7tW4.mp4 17.3 MB
- Part 11-Module 01-Lesson 07_Regressions/33. What Data Is Good For Linear Regression-4GBJk6R0pb4.mp4 17.3 MB
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- Part 16-Module 03-Lesson 04_SQL Subqueries Temporary Tables/11. Subquery Solution Video-Y6S3S0LsMrw.mp4 17.3 MB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.mp4 17.3 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4 17.3 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/27. Empirical Variability Bootstrapping-YW-uud_btQ8.mp4 17.2 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/28. Assumptions-CdoWdNAKSYw.mp4 17.1 MB
- Part 21-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4 17.0 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/08. Assessing Data Sensitivity-qgwygpD0eN8.mp4 17.0 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/24. Generalize CI-Hb2q-o4ElV4.mp4 17.0 MB
- Part 03-Module 01-Lesson 11_L4 Variability/24. Formula for Avg. Abs. Dev.-ihC1Pm8E8gU.mp4 17.0 MB
- Part 11-Module 01-Lesson 03_SVM/20. Playing Around with Kernel Choices-krV6r7HxmZU.mp4 16.9 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/26. Confidence Interval Case Breakdown-6pGDwrJHitw.mp4 16.9 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/20. Bayes Rule Summary-RgXQ8GRsjfc.mp4 16.9 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4 16.8 MB
- Part 11-Module 01-Lesson 12_Feature Selection/15. Regularization-l9V5tlIWTvs.mp4 16.8 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/15. Finches-ONhDQKYCJlE.mp4 16.8 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/16. Same Scores-RZPKn5DKB0Q.mp4 16.8 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/16. Same Scores-RZPKn5DKB0Q.mp4 16.8 MB
- Part 12-Module 02-Lesson 08_Technical Interview - Python/02. Clarifying the Question-XvvKBmKC_84.mp4 16.7 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/13. Where's the Data-rHQ8z4fIthA.mp4 16.7 MB
- Part 08-Module 03-Lesson 01_Craft Your Cover Letter/01. Get an Interview with a Cover Letter!-BH1KY63YfAM.mp4 16.7 MB
- Part 11-Module 01-Lesson 11_Text Learning/06. Bag of Words in Sklearn-aCdg-d_476Y.mp4 16.7 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/13. Binomial Distribution-nXbucNJpP8I.mp4 16.6 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/08. Match Operator-FZ8KVv1VOK4.mp4 16.6 MB
- Part 10-Module 01-Lesson 01_Develop Your Personal Brand/07. Use Your Elevator Pitch-e-v60ieggSs.mp4 16.6 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/21. Variability-1KmFcGt6Uo0.mp4 16.6 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/01. Intro-UJyJm79RS88.mp4 16.5 MB
- Part 12-Module 02-Lesson 03_Searching and Sorting/11. Efficiency of Merge Sort-HKiK5Y-YSkk.mp4 16.5 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/19. Sizing Triggering-ae9SWJxGM0w.mp4 16.5 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/10. Continents-EtWewV65zbs.mp4 16.3 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/19. Exists-j5l5UvE3Odw.mp4 16.2 MB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/08. Dummy Variables--QTgDd-fZuA.mp4 16.2 MB
- Part 12-Module 01-Lesson 05_Interview Practice/05. Maximum Difference in an Integer Array-R9AtVBq2Z5E.mp4 16.1 MB
- Part 12-Module 01-Lesson 02_Practice Behavioral Questions/04. Time When You Showed Initiative-29mkriaGT0E.mp4 16.1 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/02. Twitter Data Set-xiqleK_px_Q.mp4 16.1 MB
- Part 11-Module 01-Lesson 14_Validation/03. TrainTest Split in sklearn-lSwvUmZCvco.mp4 16.1 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/11. Gotchas Simpson’s Paradox-Tx_jtCfrbt0.mp4 16.0 MB
- Part 11-Module 01-Lesson 04_Decision Trees/10. Decision Tree Parameters-jkJ4dbbpVCQ.mp4 15.9 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-GeINbOOYkF8.mp4 15.9 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/09. Questions and Consent-ZmXg42IoG_Q.mp4 15.9 MB
- Part 18-Module 02-Lesson 01_Gathering Data/10. HTML Files in Python 1-0VZumC18UvQ.mp4 15.9 MB
- Part 21-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.mp4 15.9 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/48. Matt's Tips for Making Maps-HCYCT2TXhAM.mp4 15.9 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/05. Slope Graphs-xsdj1qJwgk4.mp4 15.9 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/06. DF - Marginal Totals-PBcd_dxiFbE.mp4 15.9 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/15. Calculating a Confidence Interval-HGYW-skXvY4.mp4 15.9 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/15. Summary-yepMH9VswI8.mp4 15.8 MB
- Part 21-Module 01-Lesson 03_Control Flow/28. Zip and Enumerate-bSJPzVArE7M.mp4 15.7 MB
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- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/31. What Do You Get with a Good Klout Score-7N7MBPJKCfw.mp4 15.7 MB
- Part 11-Module 01-Lesson 03_SVM/23. SVM Gamma Parameter-m2a2K4lprQw.mp4 15.5 MB
- Part 21-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.mp4 15.5 MB
- Part 03-Module 01-Lesson 03_PS 1b Additional Practice (Optional)/18. 39. SAD-tya_avP-hKc.mp4 15.5 MB
- Part 11-Module 01-Lesson 07_Regressions/18. AgeNet Worth Regression in sklearn-5DvUOwA7xhU.mp4 15.4 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.mp4 15.4 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.mp4 15.3 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/24. Many Variables-okzOTH15r3Y.mp4 15.3 MB
- Part 09-Module 01-Lesson 02_R Basics/04. Install RStudio on Windows-5ZbjUEg4a1g.mp4 15.3 MB
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- Part 12-Module 02-Lesson 01_Introduction and Efficiency/01. Course Introduction-NKBUbUiedzc.mp4 15.2 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/17. Z-Score-pftNHu4uevA.mp4 15.2 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/36. Naive Bayes Strengths and Weaknesses-nfbKTrufPOs.mp4 15.2 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/01. Summary-51hx5u2EMZA.mp4 15.2 MB
- Part 18-Module 04-Lesson 01_Cleaning Data/17. Flashforward-rfMu3f9O9hQ.mp4 15.2 MB
- Part 13-Module 01-Lesson 04_Design Principles/47. Discovery versus Presentation-znQ3iBhhJtA.mp4 15.1 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/22. Scraping Solution-J1gn4ZBLkt4.mp4 15.1 MB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/32. What Happened-NSuT87J4V-g.mp4 15.1 MB
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- Part 12-Module 01-Lesson 01_Ace Your Interview/02. Interviewing Conversations-klqXp09Pen4.mp4 15.0 MB
- Part 13-Module 01-Lesson 04_Design Principles/22. Encoding Nothing-6bpET1lWVtA.mp4 15.0 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-o2Tpws5C2Eg.mp4 15.0 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/56. Recap and Data Dependency-00Tz_3_91RU.mp4 15.0 MB
- Part 11-Module 01-Lesson 10_Feature Scaling/11. MinMax Scaler in sklearn-lgoh5R05YM0.mp4 14.9 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/01. Introduction-yod62-mxXR4.mp4 14.9 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/12. DataFrame apply()-KSZ2XLYk4hk.mp4 14.8 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/12. DataFrame apply()-KSZ2XLYk4hk.mp4 14.8 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/34. Katie's Hand-qyyAtT9vgr4.mp4 14.8 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/34. Katie's Hand-qyyAtT9vgr4.mp4 14.8 MB
- Part 12-Module 02-Lesson 03_Searching and Sorting/01. Binary Search-0VN5iwEyq4c.mp4 14.7 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/16. Mean Number of Shoes-j3RQ-8l2nos.mp4 14.6 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/24. MM CLT-IAVgtiZLlOg.mp4 14.6 MB
- Part 11-Module 01-Lesson 01_Welcome to Machine Learning/01. Introduction-ICKBWIkfeJ8.mp4 14.6 MB
- Part 12-Module 02-Lesson 03_Searching and Sorting/10. Merge Sort-K916wfSzKxE.mp4 14.6 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/11. Confusion Matrix for Eigenfaces--VxKwVvrNY0.mp4 14.6 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.mp4 14.6 MB
- Part 09-Module 01-Lesson 01_What is EDA/01. Data is Ubiquitous-YbVuN2KOlt4.mp4 14.6 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/04. Why MongoDB-jjMw4Ju-1CM.mp4 14.5 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/25. Scatterplot Matrices-w6CLWh1dLCU.mp4 14.5 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/26. Interpret Histogram-9piyE5in7YE.mp4 14.5 MB
- Part 09-Module 01-Lesson 02_R Basics/07. RStudio Layout-FDSmlIBy7ko.mp4 14.4 MB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/15. Potential Problems-lGwB6YRThbI.mp4 14.4 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/18. Combining Pandas DataFrames-_Rx9Z-uURQk.mp4 14.4 MB
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- Part 13-Module 01-Lesson 07_Narrative Structures/19. Viewer-driven Examples-ft07qc8rTwM.mp4 14.3 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/04. The New Journalism-ub1_Gwc6wN8.mp4 14.3 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/11. Z-Table-hSAxcGBxbds.mp4 14.3 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/27. Udacians' Facebook Friends - Mean-ljBJOXJTR9A.mp4 14.3 MB
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- Part 05-Module 01-Lesson 03_Data in More Complex Formats/20. Broken Requests-QFjKVSmxODY.mp4 14.3 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/30. Rent - Increase n-UUn6ETq08SU.mp4 14.3 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/16. Data Types-ZqRIS9etBqY.mp4 14.3 MB
- Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/04. Data Types - Data Visualization and D3.js-ZqRIS9etBqY.mp4 14.3 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/17. Introducing the Yogurt Dataset-5J9GxnJVo78.mp4 14.2 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/46. Inspecting Data with Functions--itFNdnc5ns.mp4 14.1 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/41. Types of Designs-IcrYt7Tzccg.mp4 14.1 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/12. Projection Queries-dFGlIC9nI1Q.mp4 14.1 MB
- Part 13-Module 01-Lesson 03_Problem Set Visualization Fundamentals/14. What is plot.ly-ZRiAWz-sVlM.mp4 14.0 MB
- Part 12-Module 01-Lesson 03_Interview Fails/02. Interviewing Fails Mike Wales-OGXRmzBglI4.mp4 14.0 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/15. Hypotheses-DepOzUJw_bQ.mp4 14.0 MB
- Part 11-Module 01-Lesson 07_Regressions/19. Extracting Information from sklearn-zDIRQE_oxfk.mp4 13.9 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/12. Multiple Metrics Introduction-dw0UylGwPe8.mp4 13.9 MB
- Part 18-Module 03-Lesson 01_Assessing Data/09. Quality Visual Assessment 1 -XfKc5PtJ7cc.mp4 13.9 MB
- Part 13-Module 01-Lesson 04_Design Principles/14. Common and Less Common Charts on plot.ly-V9xxdiwJtWk.mp4 13.8 MB
- Part 15-Module 01-Lesson 02_Design Principles/06. Gráficos Comuns e Menos Comuns no plot.ly-V9xxdiwJtWk.mp4 13.8 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/23. Pooled Variance Sum of Squares-H-1atcURVzk.mp4 13.8 MB
- Part 05-Module 01-Lesson 05_Data Quality/05. Measuring Data Quality-dj46LqDBFYM.mp4 13.8 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/03. Facebook Experiment-VqLX0wnrldc.mp4 13.8 MB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/02. Multiple Linear Regression-rvYZp99nj6c.mp4 13.8 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/31. Dependent Samples-kcTh3hJ1XCw.mp4 13.8 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/06. Words of Wisdom from Zipfian Academy-ani9_ZalK-8.mp4 13.8 MB
- Part 08-Module 01-Lesson 01_Conduct a Job Search/03. Target Your Application to An Employer-X9JBzbrkcvs.mp4 13.7 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/05. Checking Invariants-7CVlKQ3UjUI.mp4 13.7 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/11. Two-Tailed Test-VFS9mGdkU-M.mp4 13.7 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/23. The Facebook Offering-ORLP-phGXMU.mp4 13.7 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/24. MM CLT-DqC-pgcEam4.mp4 13.7 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/38. Something Fun-7kOZs5PLtqs.mp4 13.6 MB
- Part 18-Module 03-Lesson 01_Assessing Data/03. Dataset Oral Insulin Clinical Trial Data-R-HT78SPxpE.mp4 13.6 MB
- Part 18-Module 04-Lesson 01_Cleaning Data/03. Dataset Oral Insulin Clinical Trial Data -R-HT78SPxpE.mp4 13.6 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/18. Critical Values of Z-_vKCQnll45c.mp4 13.6 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/09. Z-Score-1V7JzqCfe9o.mp4 13.5 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/07. Parsing CSV Files-fo4MJMkwhYU.mp4 13.4 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/17. Moira on Correlation-2vql64jk77I.mp4 13.4 MB
- Part 11-Module 01-Lesson 07_Regressions/27. Problem with Minimizing Absolute Errors-U46D7oEijlI.mp4 13.4 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/02. Acerous Vs. Non-Acerous-TeFF9wXiFfs.mp4 13.4 MB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/11. Dummy Variable Interpretation-TxP_TD0kbOo.mp4 13.4 MB
- Part 11-Module 01-Lesson 12_Feature Selection/13. Overfitting by Eye-sJgPnuiHrs8.mp4 13.4 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/18. Visual Encodings-14FJU1kP6-M.mp4 13.4 MB
- Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/07. Visual Encodings - Data Visualization and D3.js-14FJU1kP6-M.mp4 13.4 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.mp4 13.3 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/13. Binomial Distribution-PVTChqpnr5Q.mp4 13.3 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/02. Tuskegee and Milgram Experiments-mxNp8_3syVk.mp4 13.3 MB
- Part 11-Module 01-Lesson 04_Decision Trees/34. DT Strengths and Weaknesses-KGnhg76iRfI.mp4 13.3 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.mp4 13.3 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/13. One-Sample t-Test-IdP9Ps2tHgw.mp4 13.3 MB
- Part 11-Module 01-Lesson 13_PCA/20. Maximal Variance and Information Loss-hfmvk8DzTGA.mp4 13.3 MB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13.2 MB
- Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13.2 MB
- Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13.2 MB
- Part 21-Module 01-Lesson 03_Control Flow/25. Break and Continue-F6qJAv9ts9Y.mp4 13.2 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/29. Collecting Participating Countries-ha6kGtT9XMQ.mp4 13.2 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/17. Less than 5-ONwh_Dcd6j8.mp4 13.2 MB
- Part 07-Module 01-Lesson 01_GitHub Review/09. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.2 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/18. Mean and SD-0XM5ILuCg1k.mp4 13.2 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/32. Binding Data-yW9LEMFOzgY.mp4 13.1 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/08. Calculating Correlation-isBv5D88Nso.mp4 13.1 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/08. Calculating Correlation-isBv5D88Nso.mp4 13.1 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/12. Target Population Example-kEFp6xIb8cs.mp4 13.0 MB
- Part 15-Module 01-Lesson 04_Telling Stories with Tableau/02. Exploring data with Trina-sLzULEjMY1E.mp4 13.0 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/13. Metric Definition Example-1EoJTK_S0mk.mp4 13.0 MB
- Part 18-Module 02-Lesson 01_Gathering Data/14. Text Files In Python 1-nDWAZOU3W3U.mp4 13.0 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/13. Multiple Metrics Example-0eCWo0h5DpM.mp4 13.0 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/06. Interval Estimate for Population Mean-ECRw3cSiy6o.mp4 13.0 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/06. The Rise of Diamonds-MD9RIDRVc-A.mp4 12.9 MB
- Part 11-Module 01-Lesson 06_Datasets and Questions/02. What Is A POI-wDQhif-MWuY.mp4 12.9 MB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/06. Resume Review-L3F2BFGYMtI.mp4 12.9 MB
- Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/06. Resume Review-L3F2BFGYMtI.mp4 12.9 MB
- Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/06. Resume Review-L3F2BFGYMtI.mp4 12.9 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/13. Two Coins 3-JIWv5fU3GLA.mp4 12.9 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/22. How Page Views Affect Sensitivity-WFVj8QI_uto.mp4 12.8 MB
- Part 21-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.mp4 12.8 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/08. Darts-fSj1dwh7Kxc.mp4 12.8 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/02. Problems Solved by Data Analysts-jZEbCVZzwUk.mp4 12.7 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/01. Intro to MongoDB-GfK7GW3V-W0.mp4 12.7 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/01. What is Data Visualization-mfLklbVU7r0.mp4 12.7 MB
- Part 11-Module 01-Lesson 09_Clustering/01. Unsupervised Learning-Mx9f99bRB3Q.mp4 12.7 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/31. Bayes Rule for Classification-wPI9WOfpZbM.mp4 12.7 MB
- Part 03-Module 01-Lesson 11_L4 Variability/16. Measure Variability-g_V6OCICUUc.mp4 12.7 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/03. Data Analysis Process-cAceF0h4vpI.mp4 12.6 MB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 12.6 MB
- Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 12.6 MB
- Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 12.6 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/32. What Happened-vD9iXeq3PKc.mp4 12.6 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/18. Negative Z-Score-6kdmc3iTf78.mp4 12.6 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/13. Formula Summary-zqo1RJEHT_0.mp4 12.6 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/28. Analyzing Three or More Variables-VUfaXWrr3oY.mp4 12.5 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/08. Bayes Rule Diagram-b8M9CWxRyQ4.mp4 12.5 MB
- Part 11-Module 01-Lesson 13_PCA/16. Compression While Preserving Information-NjuenhkC-44.mp4 12.5 MB
- Part 12-Module 01-Lesson 02_Practice Behavioral Questions/07. What Do You Know About the Company-CcTfHemUvbM.mp4 12.5 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/23. MMs-nCwZE4n4FAs.mp4 12.5 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/10. Two-Tailed Critical Values 0.05-X5GWgtZEsgc.mp4 12.5 MB
- Part 13-Module 01-Lesson 04_Design Principles/19. Pre-attentive Attributes-6UvLbIX0NQ4.mp4 12.4 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/12. Pandas Series-8zWQmAVPthY.mp4 12.4 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/13. Pandas Series-8zWQmAVPthY.mp4 12.4 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/29. Blind-O0zo3-NtBSI.mp4 12.4 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/29. Blind-O0zo3-NtBSI.mp4 12.4 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/01. Welcome!-KJT4Z0xpHns.mp4 12.4 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/11. Number of Rows-mIBKd-JBnXY.mp4 12.3 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/02. Alpha Levels-pjBOYFAkNME.mp4 12.3 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/13. Thematic Maps-Jw2q-B2kM9k.mp4 12.2 MB
- Part 12-Module 02-Lesson 04_Maps and Hashing/04. Introduction to Hashing-8yik3RlDFgM.mp4 12.2 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/11. Introducing the Working Example-ax7aaLNZkPA.mp4 12.2 MB
- Part 13-Module 01-Lesson 05_Dimple.js/12. Creating and Drawing the Chart-ZyhYNaRqqL0.mp4 12.2 MB
- Part 11-Module 01-Lesson 12_Feature Selection/11. Bias, Variance, and Number of Features-OurfO1ZR2GU.mp4 12.2 MB
- Part 11-Module 01-Lesson 04_Decision Trees/13. Data Impurity and Entropy-Bd15qhUrKCI.mp4 12.2 MB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/03. Resume Structure-POM0MqLTj98.mp4 12.2 MB
- Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/03. Resume Structure-POM0MqLTj98.mp4 12.2 MB
- Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/03. Resume Structure-POM0MqLTj98.mp4 12.2 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/21. Drone Strikes and Gun Deaths-_MXW29cfh_8.mp4 12.2 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/26. Rate Engagement and Learning-4hoT_su75AQ.mp4 12.1 MB
- Part 11-Module 01-Lesson 10_Feature Scaling/12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.mp4 12.1 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/08. Assessing Data Sensitivity-UkGwgerJU44.mp4 12.1 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/05. The Difficulty of Data Visualization-xzo96P5BwSI.mp4 12.1 MB
- Part 08-Module 01-Lesson 01_Conduct a Job Search/02. Job Search Mindset-cBk7bno3KS0.mp4 12.1 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/21. Training and Testing Data-x2dmBUEKQIA.mp4 12.1 MB
- Part 11-Module 01-Lesson 07_Regressions/31. R Squared in SKlearn-Dxf1I4IE6co.mp4 12.0 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/05. Lets Make a Map-mOZuq2JoN-k.mp4 12.0 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/08. The Demand of Diamonds-h-YgETh80h4.mp4 12.0 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/23. Measures of Center-eNoE9hSDxPA.mp4 12.0 MB
- Part 12-Module 02-Lesson 03_Searching and Sorting/02. Efficiency of Binary Search-7WbRB7dSyvc.mp4 12.0 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/20. Hypothesis Testing Song-ER5AITzr77g.mp4 12.0 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/27. What If Our Sample Is Large-WoTCeSTL1eM.mp4 12.0 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-pOKmt4w8T3g.mp4 11.9 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/15. Bigger Sample, Smaller CI-DRarpjC23kc.mp4 11.9 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/26. Adding and Formatting China's Red Dot-qgTSR_ggTDg.mp4 11.9 MB
- Part 11-Module 01-Lesson 07_Regressions/23. Errors and Fit Quality-x-8-2zy8gmI.mp4 11.9 MB
- Part 12-Module 02-Lesson 02_List-Based Collections/01. Welcome to Collections-cZORvZq-tI0.mp4 11.9 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/06. Choosing Metrics-mOH45PzylKk.mp4 11.8 MB
- Part 03-Module 01-Lesson 11_L4 Variability/10. IQR-d7J0y_PSP2I.mp4 11.8 MB
- Part 11-Module 01-Lesson 14_Validation/04. Where to use training vs. testing data 1-NvgWKf-iBsw.mp4 11.8 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/36. Circles with Bound __data__-JeJ_glcExUs.mp4 11.8 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/25. Margin of Error-slBW5Neh2cs.mp4 11.8 MB
- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/15. More on Performance Tuning-ZK1FvNH10Ag.mp4 11.8 MB
- Part 11-Module 01-Lesson 12_Feature Selection/16. Lasso Regression-qU1_cj4LfLY.mp4 11.8 MB
- Part 11-Module 01-Lesson 13_PCA/38. Selecting Principal Components-IwcoGtFuYSo.mp4 11.7 MB
- Part 03-Module 01-Lesson 11_L4 Variability/39. Clarifying Sample SD-iRudjk53deY.mp4 11.6 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/21. Model Problems-MV_e0z9kFjM.mp4 11.6 MB
- Part 09-Module 01-Lesson 01_What is EDA/04. Aude's Interest in Data-DDNSMG_RltY.mp4 11.6 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/07. Alpha and Jitter-JqyUT7RbvgI.mp4 11.6 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/10. Total Probability-YSYpzFR4k1I.mp4 11.5 MB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 11.5 MB
- Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 11.5 MB
- Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 11.5 MB
- Part 11-Module 01-Lesson 13_PCA/18. Maximal Variance-tfYAGBIR_Ws.mp4 11.5 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/04. What You Can and Can't Do with AB Tests-EwV5Vs2m33w.mp4 11.5 MB
- Part 11-Module 01-Lesson 10_Feature Scaling/06. Comparing Features with Different Scales-PRL8trOU7Rs.mp4 11.5 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/13. CI Range for Larger Sample Size-rS6udGwrN90.mp4 11.5 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/06. Ethical Considerations for Diversion-Zf0XzYNsado.mp4 11.5 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/22. Find P-Value-TVN4JfSm144.mp4 11.5 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/09. Types Of Errors - Part II-mbdSQ5CjdFs.mp4 11.5 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/21. Sampling Observations-PsRMReOqccg.mp4 11.5 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/11. Bounds of Area-UPRiS4xRnow.mp4 11.5 MB
- Part 05-Module 02-Lesson 01_Data and Tables/01. Intro to SQL for Data Analysis-CU4igXr9xTw.mp4 11.5 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1-_DjfTytro6I.mp4 11.4 MB
- Part 18-Module 02-Lesson 01_Gathering Data/10. HTML Files In Python 2-3caDGTxcoCw.mp4 11.4 MB
- Part 18-Module 03-Lesson 01_Assessing Data/12. Data Quality Dimensions 1-5UYGvKDsd-M.mp4 11.4 MB
- Part 21-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.mp4 11.4 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/12. Generalize CI-7JS9PPQ6cN4.mp4 11.4 MB
- Part 06-Module 01-Lesson 01_Working with MongoDB/22. in Operator-8iX-7hwKX1Q.mp4 11.4 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/17. Null and Alternative Hypothesis-QoEqPotgMbA.mp4 11.3 MB
- Part 17-Module 01-Lesson 04_Probability/02. Flipping Coins-OpNufHYgJCg.mp4 11.3 MB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/18. Multicollinearity VIFs-uiF3UcDWwPI.mp4 11.3 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/30. Z-Scores of Sample Means-BngCW1fjvFk.mp4 11.3 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/06. Interpreting Results-UPOxxbKu6CQ.mp4 11.3 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/08. Infinitely Small-9ftDJRsfEUI.mp4 11.3 MB
- Part 17-Module 01-Lesson 04_Probability/18. Doubles-fkUyTJNbdzU.mp4 11.3 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/17. Sizing Example-f69Hs7m1axc.mp4 11.2 MB
- Part 17-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.mp4 11.2 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/12. One-Sample t-Test-QyjjSIvJ_F4.mp4 11.2 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-DjsL64Kjr1Q.mp4 11.2 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/14. CI When n = 250-mPcWDYTRDs8.mp4 11.2 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/02. Defining Data Visualization-TMH43G11OnQ.mp4 11.2 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/14. Multiple Metrics Example 2-m0E26ndQBNo.mp4 11.1 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/09. Unit of Analysis vs. Diversion Example-vuu3BY7X9ps.mp4 11.1 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/09. Foreign Keys-fnbLMcd0FGQ.mp4 11.1 MB
- Part 13-Module 01-Lesson 04_Design Principles/29. Correcting Color-7vaHp4caWxw.mp4 11.1 MB
- Part 11-Module 01-Lesson 11_Text Learning/01. Dimensions when Learning From Text-NXbR9GQbtnk.mp4 11.1 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.mp4 11.1 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/30. Sebastian At Home-R4zq6mPPMxs.mp4 11.0 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/01. Chess-XoQr2hohdvI.mp4 11.0 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/17. Collecting Stadium Locations-CqE3Zqv21Wo.mp4 11.0 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/11. Which Tests Need Further Review-KYa8_fuZ30w.mp4 11.0 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/18. How to Decrease Experiment Size-4-MF0UZac8o.mp4 11.0 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/07. Aggregation Operators 2-UZMklqP5-p4.mp4 11.0 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/11. Z-1MZnEo0UVX4.mp4 11.0 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/02. Scatterplots and Perceived Audience Size-0XndEtOLwhk.mp4 11.0 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/25. Calculating Results-WkInrWZwbNA.mp4 11.0 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/14. Influence Memory-N9VgCuxpb0I.mp4 11.0 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/14. Influence Memory-N9VgCuxpb0I.mp4 11.0 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/26. Which Plot to Choose-pBSQI8EmhvM.mp4 11.0 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/07. Interpreting Results in Python-IY88UTiJltQ.mp4 11.0 MB
- Part 05-Module 02-Lesson 01_Data and Tables/12. Related Tables-lMwSjDYgCq0.mp4 10.9 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-hoVOT8qcQ7c.mp4 10.9 MB
- Part 21-Module 01-Lesson 03_Control Flow/20. L3 08 While Loops V3-7Sf5tcPlKQw.mp4 10.9 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/10. Estimating Click-Through-Probability-Hkbc_vcb7D8.mp4 10.8 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/33. Steps in the Data Binding Process-paj5z9U1OBk.mp4 10.8 MB
- Part 11-Module 01-Lesson 13_PCA/30. PCA for Facial Recognition-WyoU2otqsd8.mp4 10.8 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/11. D3 Chain Syntax and Changing the Navbar-DQ9_HknCsAI.mp4 10.8 MB
- Part 21-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.mp4 10.8 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.mp4 10.8 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/14. Histogram-4Aj_qdImmGo.mp4 10.8 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/01. Introduction to Logistic Regression-P_f2RjjnPEg.mp4 10.8 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/17. Exploring Student Engagement-6QLiscx_zIY.mp4 10.8 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/12. Affect t-Statistic-c6vE21UVksU.mp4 10.8 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/24. Frequency Polygons-v4UGBUB6jO4.mp4 10.8 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/19. Checking the Nest Return-hCXhsYVLqig.mp4 10.8 MB
- Part 16-Module 03-Lesson 04_SQL Subqueries Temporary Tables/09. SQL Subquery Video-10pmKmTI_CA.mp4 10.7 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/08. Formula-DTdS-LlMTQ0.mp4 10.7 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/16. Beginning to Build Our http Requests-ojd7xXOd_64.mp4 10.7 MB
- Part 12-Module 01-Lesson 05_Interview Practice/03. Free Throw Probability-pDELcPTP2BI.mp4 10.7 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.mp4 10.7 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/28. D3 Unpacking The Name-Hs3__UsSyL8.mp4 10.7 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/02. Hypothesis Testing-9GbHHpiK6wk.mp4 10.7 MB
- Part 11-Module 01-Lesson 16_Tying It All Together/04. Outro-VCNcNnZ6V_s.mp4 10.7 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/11. Operational Definitions-oTZO4DxRbAU.mp4 10.7 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/11. Operational Definitions-oTZO4DxRbAU.mp4 10.7 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/14. The Central Limit Theorem-ag3TB5UGu_g.mp4 10.6 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/27. Box Plots, Quartiles, and Friendships-ykFuZOPCU88.mp4 10.6 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/18. Better Sample-9na_mOWP7pw.mp4 10.6 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/18. Better Sample-9na_mOWP7pw.mp4 10.6 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/27. Empirical Variability Bootstrapping-FvtAeWdzy4k.mp4 10.6 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/22. Conduct Hypothesis Test-HTuI3iFzOdU.mp4 10.6 MB
- Part 20-Module 01-Lesson 01_Matrix Math and NumPy Refresher/02. Data Has Dimensions-F4NSv776X0c.mp4 10.6 MB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/17. Cleaning Example-7bnSPYtPDzQ.mp4 10.6 MB
- Part 21-Module 01-Lesson 05_Scripting/21. The Standard Library-Fw3vf0tDrJM.mp4 10.5 MB
- Part 11-Module 01-Lesson 09_Clustering/10. K-Means Clustering Visualization 2-fQXXa-CAoS0.mp4 10.5 MB
- Part 03-Module 01-Lesson 11_L4 Variability/26. Sum of Squares-fktfjG1SnkI.mp4 10.5 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/22. When to Limit Exposure-CfDLpojt4AY.mp4 10.5 MB
- Part 03-Module 01-Lesson 11_L4 Variability/12. Define Outlier-7rLkGwsbMUY.mp4 10.5 MB
- Part 13-Module 01-Lesson 04_Design Principles/13. Additional Chart Types-4G-KhrIDqGA.mp4 10.5 MB
- Part 13-Module 01-Lesson 04_Design Principles/06. Common Chart Types-xD2_AU6atqA.mp4 10.5 MB
- Part 15-Module 01-Lesson 02_Design Principles/02. Tipos Comuns de Gráficos-xD2_AU6atqA.mp4 10.5 MB
- Part 08-Module 01-Lesson 01_Conduct a Job Search/01. Introduction-axcFtHK6If4.mp4 10.4 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/12. Using the Z-Table-GF0qAvNKpOA.mp4 10.4 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/22. Standard Error-FpeMuGuo74k.mp4 10.4 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/04. What's Normalized-f1fz9cLnetM.mp4 10.4 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/11. Moira Histogram Summary Scatterplots-GmR3uEM189M.mp4 10.4 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/05. Consistency of Diversion Example-f7vNKm0Zci0.mp4 10.4 MB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/23. Interpreting Interactions-XV6S2srsdxw.mp4 10.4 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/07. Confidence Interval Bounds-WeS0ogG86nk.mp4 10.3 MB
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- Part 16-Module 01-Lesson 01_Anaconda/01. Why Anaconda-VXukXZv7SCQ.mp4 10.3 MB
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- Part 17-Module 01-Lesson 05_Binomial Distribution/16. Binomial Distribution Conclusion-9gjCYs8f_PU.mp4 10.2 MB
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- Part 11-Module 01-Lesson 02_Naive Bayes/35. Why Is Naive Bayes Naive-H7IlFC5wbjk.mp4 10.1 MB
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- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/01. Introduction-QXxtu_gdWQs.mp4 10.0 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/02. Introduction-QXxtu_gdWQs.mp4 10.0 MB
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- Part 11-Module 01-Lesson 16_Tying It All Together/01. Introduction-8tm1144C4T0.mp4 9.9 MB
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- Part 13-Module 01-Lesson 07_Narrative Structures/27. Defining a Join-Xo-OJXzS0tQ.mp4 9.9 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/20. Visualize Relationship-fffGVf6-1-Y.mp4 9.9 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/20. Visualize Relationship-fffGVf6-1-Y.mp4 9.9 MB
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- Part 05-Module 01-Lesson 03_Data in More Complex Formats/09. Handling Attributes-YSEGZMBbxTk.mp4 9.9 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/13. Mu-GXY-iMfZTn0.mp4 9.9 MB
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- Part 12-Module 01-Lesson 02_Practice Behavioral Questions/05. What Motivates You at the Workplace-Aa9SFwiRbho.mp4 9.8 MB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/05. DF - Add to 10-mb1eR8nb9t4.mp4 9.8 MB
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- Part 09-Module 01-Lesson 05_Explore Two Variables/08. Overplotting and Domain Knowledge-DMhldSg2_vs.mp4 9.8 MB
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- Part 03-Module 01-Lesson 20_L8 Estimation/08. Exact Z-Scores-2OKqKX7DnMQ.mp4 9.7 MB
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- Part 03-Module 01-Lesson 08_L3 Central Tendency/28. Udacians' Facebook Friends - Median-BHFxJmzw1gY.mp4 9.7 MB
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- Part 13-Module 01-Lesson 07_Narrative Structures/15. One Human Heartbeat-unKu-dmor2w.mp4 9.7 MB
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- Part 09-Module 01-Lesson 03_Explore One Variable/24. Frequency Polygons-bDRGbJP7YMY.mp4 9.7 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/08. t-Table-lccjSiVTx7c.mp4 9.7 MB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/32. Keyboards-0m5k7Ni1O48.mp4 9.6 MB
- Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/01. Intro-vek87HVWexE.mp4 9.6 MB
- Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/01. Intro-vek87HVWexE.mp4 9.6 MB
- Part 11-Module 01-Lesson 01_Welcome to Machine Learning/02. Introduction Part II-2ldF64FPWw4.mp4 9.6 MB
- Part 07-Module 01-Lesson 01_GitHub Review/01. Introduction-Vnj2VNQROtI.mp4 9.6 MB
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- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/12. Plot Colors for Qualitative Factors-2ZVGl6LrOPw.mp4 9.5 MB
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- Part 13-Module 01-Lesson 07_Narrative Structures/02. Approaches to Journalism-AxFSDfKP7Zs.mp4 9.5 MB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/04. Describe Your Work Experiences-B1LED4txinI.mp4 9.5 MB
- Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/04. Describe Your Work Experiences-B1LED4txinI.mp4 9.5 MB
- Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/04. Describe Your Work Experiences-B1LED4txinI.mp4 9.5 MB
- Part 03-Module 01-Lesson 02_PS 1a Intro to Research Methods/21. 37. Insomnia-HbnB5SQqmoM.mp4 9.5 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/01. Introduction to Course-gR_buSP6sdw.mp4 9.5 MB
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- Part 11-Module 01-Lesson 13_PCA/38. Selecting Principal Components-XDvus8zHJbA.mp4 9.5 MB
- Part 08-Module 03-Lesson 01_Craft Your Cover Letter/03. Cover Letter Components-DVvLiKedRw4.mp4 9.5 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/05. Critical Values 0.001-AdLGLYYYVao.mp4 9.4 MB
- Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/01. Introduction to Data Visualization-MUZXLvBI2sw.mp4 9.4 MB
- Part 19-Module 01-Lesson 01_Introduction to Data Visualization/01. Introduction to Data Visualization-MUZXLvBI2sw.mp4 9.4 MB
- Part 12-Module 01-Lesson 05_Interview Practice/02. Describe your latest data project-wkWDrSBBtz0.mp4 9.4 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/26. Benefits of Surveys-MLGu66F25qU.mp4 9.4 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/26. Benefits of Surveys-MLGu66F25qU.mp4 9.4 MB
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- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/04. High Level Metrics Customer Funnel-j5tA__Dq-sQ.mp4 9.4 MB
- Part 01-Module 01-Lesson 01_Nanodegree Orientation/11. How Do I Find Time for My Nanodegree Program-d-VfUw7wNEQ.mp4 9.4 MB
- Part 03-Module 01-Lesson 11_L4 Variability/13. Match Boxplots-imNv6Q8GiQM.mp4 9.4 MB
- Part 03-Module 01-Lesson 11_L4 Variability/09. Q3 - Q1-bFDJ_FstSZ4.mp4 9.3 MB
- Part 11-Module 01-Lesson 12_Feature Selection/21. Feature Selection Mini-Project Video-sJzKx_FiMXA.mp4 9.3 MB
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- Part 12-Module 02-Lesson 08_Technical Interview - Python/04. Test Cases-7CNatJ7PqZ4.mp4 9.2 MB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/22. Find P-Value-pwQ7IQgremk.mp4 9.2 MB
- Part 03-Module 01-Lesson 03_PS 1b Additional Practice (Optional)/10. 27. English Teaching-HmsNljRIsr4.mp4 9.2 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/04. Choosing Invariants, Part 2-lWjaCJazJE0.mp4 9.2 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/13. Karma-cNFMJpVQlKY.mp4 9.2 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/12. Which Distribution-tTb1k27rhgI.mp4 9.2 MB
- Part 05-Module 01-Lesson 05_Data Quality/09. Auditing Validity-B9vjn8IYaSg.mp4 9.2 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/24. How Does Number of Page Views Vary-tfhsgVCX2Ao.mp4 9.2 MB
- Part 15-Module 01-Lesson 02_Design Principles/01. Introduction-Q0lZkNF6O0g.mp4 9.1 MB
- Part 19-Module 01-Lesson 02_Design/01. Introduction-Q0lZkNF6O0g.mp4 9.1 MB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/15. Sets and groups with Trina-I59eqlvfMZk.mp4 9.1 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/10. Two-Tailed Critical Values 0.05-VCdJJTk2Izk.mp4 9.1 MB
- Part 20-Module 01-Lesson 01_Matrix Math and NumPy Refresher/09. Matrix Transposes-NVK5xCY3CZE.mp4 9.1 MB
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- Part 14-Module 01-Lesson 01_Overview of AB Testing/26. Confidence Interval Case Breakdown-gycmvQqw-8s.mp4 9.1 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/03. Correlation vs Causation-8u96-UEf_ms.mp4 9.0 MB
- Part 03-Module 01-Lesson 03_PS 1b Additional Practice (Optional)/16. 34. Landmines-8ScnVyC24s8.mp4 9.0 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/26. Box Plots-Hk26Zn3xQEY.mp4 9.0 MB
- Part 17-Module 01-Lesson 04_Probability/15. One Of Three 1-bDCXSxkochE.mp4 9.0 MB
- Part 21-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.mp4 9.0 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/03. Unit of Diversion Example-_-BxFJTBNMM.mp4 9.0 MB
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- Part 13-Module 01-Lesson 07_Narrative Structures/30. Thinking with Venn Diagrams-C1aHeMSeIdk.mp4 9.0 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/24. Cancer Test-EL5z2lUuxY4.mp4 9.0 MB
- Part 01-Module 01-Lesson 01_Nanodegree Orientation/12. Final Tips-1ZVBvM54hQw.mp4 8.9 MB
- Part 10-Module 01-Lesson 01_Develop Your Personal Brand/06. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 8.9 MB
- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/18. Joining Subqueries-rxy-fE5GeLY.mp4 8.9 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/02. Acerous Vs. Non-Acerous-M5pj2CrO-2w.mp4 8.9 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/10. Two-Tailed t-Test-zlHtHBeJhww.mp4 8.9 MB
- Part 12-Module 02-Lesson 01_Introduction and Efficiency/08. Notation Intro-xHwIU4j3gBc.mp4 8.9 MB
- Part 03-Module 01-Lesson 11_L4 Variability/40. Jelly Beans-1HmiArFN-EI.mp4 8.9 MB
- Part 13-Module 01-Lesson 05_Dimple.js/30. EDA vs Sketching Data Visualizations-hFlVFyatBF0.mp4 8.9 MB
- Part 12-Module 01-Lesson 01_Ace Your Interview/01. Introduction-pg4HUMgKLxI.mp4 8.9 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/05. Assessing Risk-j0qfuunqym8.mp4 8.9 MB
- Part 21-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.mp4 8.9 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/50. Goodbye and Keep Learning-B4EKdtRmv60.mp4 8.8 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/19. Plotting for DataFrames-CDVgPA0Mv2o.mp4 8.8 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/19. Plotting for DataFrames-CDVgPA0Mv2o.mp4 8.8 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/07. Confidence Interval Bounds-Bs-wLbPOAfs.mp4 8.8 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/03. The Benefits of Interactivity-fIIyFYQyGLk.mp4 8.8 MB
- Part 11-Module 01-Lesson 03_SVM/22. SVM C Parameter-joTa_FeMZ2s.mp4 8.8 MB
- Part 14-Module 01-Lesson 04_Designing an Experiment/07. Ethical Considerations Example-tGHQsk1SGGU.mp4 8.8 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/06. r^2-X5F1reyQ_5U.mp4 8.8 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/19. Lessons Completed in First Week -nZq-Y2lfjpY.mp4 8.8 MB
- Part 11-Module 01-Lesson 14_Validation/08. K-Fold Cross Validation-TIgfjmp-4BA.mp4 8.7 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/27. Analysis and Visualization (After Cleaning)-OF2486euiRE.mp4 8.7 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/07. Reshaping Data-zQj_waidR5w.mp4 8.7 MB
- Part 05-Module 01-Lesson 05_Data Quality/13. Auditing Accuracy-mADDYP7ldl4.mp4 8.7 MB
- Part 18-Module 03-Lesson 01_Assessing Data/07. Visual Assessment -GVVibuIg3Ro.mp4 8.7 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/28. Conclusion-rrSNkPGJmTc.mp4 8.7 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/10. Scatterplot Transformation-h1wbEPuADz0.mp4 8.7 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/21. Size vs. Power Trade-Off-bnTIVGBkKhM.mp4 8.7 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/18. Averaging Locations-GLQJukg-0fQ.mp4 8.6 MB
- Part 13-Module 01-Lesson 04_Design Principles/35. Chartjunk-jm2qOX2Q2HQ.mp4 8.6 MB
- Part 15-Module 01-Lesson 02_Design Principles/16. Gráfico Lixo-jm2qOX2Q2HQ.mp4 8.6 MB
- Part 11-Module 01-Lesson 05_Choose Your Own Algorithm/04. Algorithm Options-S-cGZ-FEdjQ.mp4 8.6 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/33. What Happened-LOwWWIXvnhU.mp4 8.6 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/19. Engagement Ratio-vpwCy5Gphrw.mp4 8.6 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/10. -v5CqqhgvG-U.mp4 8.6 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/23. Connecting Errors and P-Values-hFNjd5l9CLs.mp4 8.6 MB
- Part 18-Module 02-Lesson 01_Gathering Data/09. Trees-OVeJU18ADmw.mp4 8.6 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/08. BBC Measurement-gTTwyzbOOgU.mp4 8.6 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/08. BBC Measurement-gTTwyzbOOgU.mp4 8.6 MB
- Part 11-Module 01-Lesson 11_Text Learning/14. Why Upweight Rare Words-xYQb6f1SIEk.mp4 8.6 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/13. Explanatory vs Exploratory-SHq_zbB4ITo.mp4 8.5 MB
- Part 19-Module 01-Lesson 02_Design/13. Using Color-6bAedqD3ilw.mp4 8.5 MB
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- Part 02-Module 01-Lesson 01_Intro to Research Methods/27. Downsides of Surveys-0ezYH2ppmT0.mp4 8.4 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/27. Downsides of Surveys-0ezYH2ppmT0.mp4 8.4 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/34. Completing the Update Function-lUYD6lldDeU.mp4 8.4 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/08. Document Selectors And Queries-xQbKGc-Ptao.mp4 8.4 MB
- Part 13-Module 01-Lesson 04_Design Principles/38. Data Ink Ratio-CJouyPxHb84.mp4 8.4 MB
- Part 15-Module 01-Lesson 02_Design Principles/17. Data Ink Ratio-CJouyPxHb84.mp4 8.4 MB
- Part 21-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.mp4 8.4 MB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/03. Problems Solved by Data Analysts-zbjRiYSSR_Y.mp4 8.4 MB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/20. Interactions And Higher Order Terms-AOfXMiJgo48.mp4 8.3 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/10. Overlaying Summaries with Raw Data-wqvEtUA0n-s.mp4 8.3 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/09. Foreign Keys-mFPq74OMkKk.mp4 8.3 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/11. Number of Rows-zxeKDuSK31M.mp4 8.3 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/35. Visualization and D3 Basics-ueKb1OghNEU.mp4 8.3 MB
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- Part 13-Module 01-Lesson 04_Design Principles/46. Tabular Data versus Line Chart-S-pjRUJAGTs.mp4 7.6 MB
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- Part 13-Module 01-Lesson 01_Visualization Fundamentals/20. Win, Lose or Draw-ZhWxuf5czTA.mp4 7.6 MB
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- Part 17-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bgyN3RO2ICo.mp4 7.6 MB
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- Part 05-Module 01-Lesson 03_Data in More Complex Formats/19. Using Beautiful Soup-_rDjie-TaS8.mp4 7.6 MB
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- Part 17-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-69je8wHh2mQ.mp4 7.5 MB
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- Part 13-Module 01-Lesson 07_Narrative Structures/08. How to Lie with Pie Charts-q-EjlMl1Bj4.mp4 7.5 MB
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- Part 17-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-dOa4Cl0wM0s.mp4 7.5 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/08. Map Distortions-xL5xVEuLuNE.mp4 7.5 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/09. Model Diagnostics-XsYFAtzF6e4.mp4 7.5 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/20. Number of Visits in the First Week-5GYA5j1fqBU.mp4 7.5 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/31. Raining-R5Jgz8SaVqM.mp4 7.5 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.mp4 7.5 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/16. Exploring JSON-QCakJ5gxF5w.mp4 7.5 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/26. Where are we-d3jQdOuOy8k.mp4 7.5 MB
- Part 14-Module 01-Lesson 05_Analyzing Results/01. Introduction-AyeKXinJ3W8.mp4 7.4 MB
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- Part 21-Module 01-Lesson 05_Scripting/06. Programming Environment Setup-EKxDnCK0NAk.mp4 7.4 MB
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- Part 09-Module 01-Lesson 07_Explore Many Variables/18. Histograms Revisited-7PyV7HxpSYA.mp4 7.4 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/27. Udacians' Facebook Friends - Mean-sLEF-B1fkX8.mp4 7.4 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/09. Equivalent Diagram-aUFWZ2uJuBE.mp4 7.4 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/24. The Facebook Offering Animation-s7h2tH6z9Rg.mp4 7.4 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/09. Z-Score-1xXceRXrsg8.mp4 7.4 MB
- Part 12-Module 02-Lesson 07_Case Studies in Algorithms/06. Dynamic Programming-VQeFcG9pjJU.mp4 7.4 MB
- Part 21-Module 01-Lesson 05_Scripting/26. Third Party Libraries And Package Managers-epOze9gC6T4.mp4 7.4 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/21. True or Not-HVa4G8jQbEo.mp4 7.3 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/21. True or Not-HVa4G8jQbEo.mp4 7.3 MB
- Part 20-Module 01-Lesson 01_Matrix Math and NumPy Refresher/07. Matrix Multiplication Part 2-8jtk8BzBdj8.mp4 7.3 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/28. Multiple Testing Corrections-DuMgeHrkIF0.mp4 7.3 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/25. Changing Bin Size-fI_SYnWB1XA.mp4 7.3 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/02. Perceived Audience Size by Age-GFKRNBnFGVU.mp4 7.3 MB
- Part 03-Module 01-Lesson 11_L4 Variability/29. One Dimension-vsqelq1aYy8.mp4 7.3 MB
- Part 11-Module 01-Lesson 09_Clustering/02. Clustering Movies-g8PKffm8IRY.mp4 7.3 MB
- Part 11-Module 01-Lesson 07_Regressions/37. Regression Mini-Project Video-CrD9jN3rBM8.mp4 7.3 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-1R44jvxIPJY.mp4 7.3 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/23. Convert to Z-Score-UAHkVUloKbg.mp4 7.3 MB
- Part 12-Module 02-Lesson 05_Trees/06. Depth-First Traversals-wp5ohHFTieM.mp4 7.3 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/18. UNC-Ko-g24l1LpQ.mp4 7.3 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/19. What Is A P-value Anyway-eU6pUZjqviA.mp4 7.3 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/03. Z-Critical Value 0.05-oCQnqFE4uxQ.mp4 7.3 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/06. Gather Intro-K5ITQn1L1R0.mp4 7.3 MB
- Part 11-Module 01-Lesson 09_Clustering/16. Counterintuitive Clusters 2-HyjBus7S2gY.mp4 7.2 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/12. Normalizer-mQ_IjrtmmAk.mp4 7.2 MB
- Part 11-Module 01-Lesson 03_SVM/04. What Makes A Good Separating Line-cwjvMYPB1Fk.mp4 7.2 MB
- Part 18-Module 02-Lesson 01_Gathering Data/20. Flashforward 2-Sbyn8aT-8G8.mp4 7.2 MB
- Part 09-Module 01-Lesson 02_R Basics/16. Advice for Data Scientists-FdkhUOtHIFg.mp4 7.2 MB
- Part 18-Module 02-Lesson 01_Gathering Data/13. Text File Structure-O4qEWpXZLQg.mp4 7.2 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/05. More AB Testing Possibilities-eZ_yCrh4740.mp4 7.2 MB
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- Part 03-Module 01-Lesson 16_L6 Normal Distribution/02. Probability-oR8H9vdtreE.mp4 7.2 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/18. More than 20-YaznAtppruA.mp4 7.2 MB
- Part 11-Module 01-Lesson 11_Text Learning/13. Weighting by Term Frequency-t2Nq3MFK_pg.mp4 7.2 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/09. Between 118 and 226-pHNtOrr6bgE.mp4 7.2 MB
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- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/11. DataFrame applymap()-lVLgiRRhFpQ.mp4 7.2 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/16. Exploring JSON-kT0jBsXOouw.mp4 7.2 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-YIELbuet-ZE.mp4 7.1 MB
- Part 18-Module 02-Lesson 01_Gathering Data/16. JSON File Structure-hO2CayzZBoA.mp4 7.1 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/26. Rent - Cohen's d-admfaazbCnY.mp4 7.1 MB
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- Part 16-Module 01-Lesson 02_Jupyter notebooks/01. Jupyter-qiYDWFLyXvg.mp4 7.1 MB
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- Part 11-Module 01-Lesson 08_Outliers/02. What Causes Outliers-djTM5fADIVs.mp4 7.1 MB
- Part 03-Module 01-Lesson 11_L4 Variability/38. Bessel's Correction-bHVPpomkUYs.mp4 7.1 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/27. Skewed Distribution-6LgGDqQLpyc.mp4 7.1 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/15. Bias Variance Trade off Revisited-CSVf96g0XGM.mp4 7.1 MB
- Part 03-Module 01-Lesson 11_L4 Variability/34. Spreadsheet SD-sXeVydVAv7Q.mp4 7.1 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.mp4 7.1 MB
- Part 18-Module 02-Lesson 01_Gathering Data/15. Source APIs (Application Programming Interfaces) 2-tobH58uO24U.mp4 7.1 MB
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- Part 03-Module 01-Lesson 20_L8 Estimation/31. Probability Sample Mean Is at Least...-tjEua8efugg.mp4 7.0 MB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/23. Rent - t-Critical Values-0tcbCIrJGlM.mp4 7.0 MB
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- Part 09-Module 01-Lesson 01_What is EDA/06. The Growth of Televisions-GuBics_6HOk.mp4 7.0 MB
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- Part 11-Module 01-Lesson 08_Outliers/04. Outlier DetectionRemoval Algorithm-hGKY6BAqJ6o.mp4 7.0 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.mp4 7.0 MB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/03. How This Lesson Is Structured-xfRtO4aFpv0.mp4 7.0 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/14. Increase t-tBk_gBWan8k.mp4 7.0 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/20. Find the Median--XPrm7KcCdc.mp4 7.0 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/08. Faceting-in2hLEl_eJU.mp4 7.0 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/10. DataFrame Vectorized Operations-xbtnAlV0ZSA.mp4 7.0 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/10. DataFrame Vectorized Operations-xbtnAlV0ZSA.mp4 7.0 MB
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- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/20. Notation for Random Variables-8NxTW1u4s-Y.mp4 5.7 MB
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- Part 13-Module 01-Lesson 01_Visualization Fundamentals/12. Iterating on Visualizations-muh0thR2DKo.mp4 5.6 MB
- Part 21-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.mp4 5.6 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/51. Where are the Circles-fRNDqy-le8U.mp4 5.6 MB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/24. Z-Score of Sample Mean--IGW7WH6CIA.mp4 5.6 MB
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- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/12. Ratio of SDs-L4Jgcf9FNKA.mp4 5.6 MB
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- Part 18-Module 03-Lesson 01_Assessing Data/17. Tidiness Visual Assessment Solution-H50mPHHp6fY.mp4 5.6 MB
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- Part 13-Module 01-Lesson 04_Design Principles/07. Small Multiples-HS_dsOQfwz8.mp4 5.6 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/24. Annotations World Cup Attendance Chart-Aq39o9xrW5A.mp4 5.6 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/16. Establishing Statistical Significance-C22VZ_mY5RM.mp4 5.6 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/12. Data-d7aERRVkccY.mp4 5.6 MB
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- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/11. Overplotting Revisited-P6ZOr7JiMLk.mp4 5.6 MB
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- Part 11-Module 01-Lesson 11_Text Learning/04. Mr. Day Loves a Nice Day-0QiU3p8POHk.mp4 5.5 MB
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- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/15. Standardizing Each Column Again-WmJKPUthUPw.mp4 5.5 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/15. Standardizing Each Column Again-WmJKPUthUPw.mp4 5.5 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/24. Final Thoughts-CNGDocH1k3k.mp4 5.5 MB
- Part 11-Module 01-Lesson 03_SVM/25. SVM Strengths and Weaknesses-U9-ZsbaaGAs.mp4 5.5 MB
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- Part 17-Module 01-Lesson 04_Probability/16. One Of Three 2-gGgqTGZ9TKg.mp4 5.5 MB
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- Part 11-Module 01-Lesson 14_Validation/02. Benefits of Testing-7LGaeYfvRug.mp4 5.5 MB
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- Part 13-Module 01-Lesson 02_D3 Building Blocks/17. -NXGcCf1KCt4.mp4 5.5 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/03. Population Mean vs. Sample Mean-DM1zSW5aoCc.mp4 5.5 MB
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- Part 02-Module 01-Lesson 01_Intro to Research Methods/06. BBC Scores-5IhpLHnTZoE.mp4 5.4 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/06. BBC Scores-5IhpLHnTZoE.mp4 5.4 MB
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- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/25. Background Of Bootstrapping-6Vg5kGoDl7k.mp4 5.4 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/19. D3 Scales-pFRoUknUJl8.mp4 5.4 MB
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- Part 17-Module 01-Lesson 06_Conditional Probability/13. Two Coins 3-GO6kbL3QRBE.mp4 5.4 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/09. SELECT Clauses-bR7EoKjN0EM.mp4 5.4 MB
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- Part 19-Module 01-Lesson 02_Design/07. Chart Junk-3BTBEYOG2o8.mp4 5.4 MB
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- Part 21-Module 01-Lesson 05_Scripting/24. Techniques For Importing Modules-jPGyFgcIvsM.mp4 5.3 MB
- Part 01-Module 01-Lesson 01_Nanodegree Orientation/10. Integrity and Mindset-zCOr3O50gQM.mp4 5.3 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/27. Making Decisions about Uncertain Data-GM8MV0FvCUo.mp4 5.3 MB
- Part 16-Module 03-Lesson 02_SQL Joins/13. Motivation for Other JOINs-3qdv1Ojc9Og.mp4 5.3 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/07. Primary Keys-AaLIKufl_mY.mp4 5.3 MB
- Part 17-Module 01-Lesson 02_Descriptive Statistics - Part II/12. Variance Standard Deviation Final Points-vXUgp2375j4.mp4 5.3 MB
- Part 11-Module 01-Lesson 03_SVM/06. SVMs and Tricky Data Distributions-yD9C03vqNeI.mp4 5.3 MB
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- Part 11-Module 01-Lesson 12_Feature Selection/08. Features != Information-GOrv8faKHV4.mp4 5.3 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/25. L2 05 Lists Methods V1-WXkPm4rv6ng.mp4 5.3 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/10. Calculate SDs-bjk5m0wrj3w.mp4 5.3 MB
- Part 11-Module 01-Lesson 16_Tying It All Together/03. End of Content-MFRkl-aXL8I.mp4 5.3 MB
- Part 16-Module 03-Lesson 01_Basic SQL/02. Parch Posey Database-JOMI560DgXg.mp4 5.3 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/05. NumPy and Pandas Data Types-seEFuJ-qvlg.mp4 5.3 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/05. NumPy and Pandas Data Types-seEFuJ-qvlg.mp4 5.3 MB
- Part 17-Module 01-Lesson 04_Probability/19. Probability Conclusion-dsVKoXymYDU.mp4 5.3 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/08. Ratio Plot-DclTt9xqS4s.mp4 5.3 MB
- Part 11-Module 01-Lesson 04_Decision Trees/35. Decision Tree Mini-Project Video-eFjeXiC0KHA.mp4 5.2 MB
- Part 21-Module 01-Lesson 05_Scripting/08. Scripting With Raw Input-Fs9uLV2qfgI.mp4 5.2 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/07. Meal Price t-Statistic-htd-vu8q3po.mp4 5.2 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/05. Tabular Formats-5Vq530Lijb0.mp4 5.2 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/12. Bin Size-3R0LfaKa-fw.mp4 5.2 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/26. Interpret Histogram-Xo3Le7VTZZM.mp4 5.2 MB
- Part 16-Module 03-Lesson 04_SQL Subqueries Temporary Tables/12. Common Table Expressions-qtEKO7B8bXQ.mp4 5.2 MB
- Part 18-Module 03-Lesson 01_Assessing Data/13. Date Quality Dimensions 2 Solution-kqcuw1qCLEM.mp4 5.2 MB
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- Part 17-Module 01-Lesson 07_Bayes Rule/35. Using Sensor Data-vhl-SADfti8.mp4 5.2 MB
- Part 21-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.mp4 5.2 MB
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- Part 13-Module 01-Lesson 04_Design Principles/27. Alternatives to Rainbow Palettes-UjyPKvNHz4A.mp4 5.2 MB
- Part 17-Module 01-Lesson 02_Descriptive Statistics - Part II/07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.mp4 5.2 MB
- Part 11-Module 01-Lesson 04_Decision Trees/07. Constructing A Decision TreeThird Split-1GCPKAYDPTg.mp4 5.2 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/04. XML in Practice-4xsz7OkDJgM.mp4 5.2 MB
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- Part 03-Module 01-Lesson 16_L6 Normal Distribution/15. SD of Karma Points per Post-gIR0M2Jxb0k.mp4 5.2 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/05. More AB Testing Possibilities-rGw4xFsUUqE.mp4 5.2 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/11. Repeating the Experiment-UXLEe6bNpM4.mp4 5.2 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.mp4 5.2 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/13. Series Indexes-RK6CPtXdK5Q.mp4 5.2 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/14. Series Indexes-RK6CPtXdK5Q.mp4 5.2 MB
- Part 03-Module 01-Lesson 11_L4 Variability/33. SD in Words-M_8000Yz_DA.mp4 5.1 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/10. Moira's Outlier-Oyo2HOJstCs.mp4 5.1 MB
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- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/03. Tetrahedral Die-l7p3uldaCks.mp4 5.1 MB
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- Part 05-Module 02-Lesson 03_Elements of SQL/09. SELECT Clauses-_bnZEnWWqXQ.mp4 5.1 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/01. Compare Sample Means-QheTapjHFdU.mp4 5.1 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/10. Details of the Data Science Process-8TeiMKUmoYQ.mp4 5.1 MB
- Part 05-Module 01-Lesson 05_Data Quality/16. Auditing Consistency-bCAkWxApvQM.mp4 5.1 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/12. Example Details-aR6Z7ggnjEY.mp4 5.1 MB
- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/25. Aggregations-ADx1x2ljFB4.mp4 5.1 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/14. Loading Data with Nested Functions-ME6F4Nyjv8o.mp4 5.1 MB
- Part 11-Module 01-Lesson 11_Text Learning/05. Properties of Bag of Words-3r8OR2yQ-KI.mp4 5.1 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/29. Decision Errors-TJ_p0xBI9bI.mp4 5.1 MB
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- Part 17-Module 01-Lesson 12_Hypothesis Testing/03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.mp4 5.1 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/06. CSVs in Python-YIDH9HBY3Qk.mp4 5.1 MB
- Part 11-Module 01-Lesson 08_Outliers/03. Outlier Selection-rNR4_JqCEuk.mp4 5.1 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/06. Accessing Elements of a DataFrame-4RmQYWI8lY4.mp4 5.1 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/06. Accessing Elements of a DataFrame-4RmQYWI8lY4.mp4 5.1 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/19. Proportion over 60-cJCx-Su6vx0.mp4 5.1 MB
- Part 11-Module 01-Lesson 12_Feature Selection/03. A New Enron Feature Quiz-eAKVYAR_VlY.mp4 5.1 MB
- Part 16-Module 03-Lesson 01_Basic SQL/11. SELECT FROM Statements-urOYuuav4BY.mp4 5.1 MB
- Part 18-Module 02-Lesson 01_Gathering Data/22. SELECT FROM Statements-urOYuuav4BY.mp4 5.1 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/26. Evaluation Mini-Project Video-s13K9G1VaWM.mp4 5.1 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/13. SD of Sampling Distribution-tPVKll2xFUw.mp4 5.1 MB
- Part 11-Module 01-Lesson 04_Decision Trees/21. Information Gain-KYieR9y-ue4.mp4 5.0 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/22. Understanding Noise Age to Age Months-cUDZ1vkmdnk.mp4 5.0 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/12. Correlation-L9-lBQbknp0.mp4 5.0 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/01. Lesson Introduction-nQBbywNKTVc.mp4 5.0 MB
- Part 03-Module 01-Lesson 03_PS 1b Additional Practice (Optional)/08. 24. Classical Music-3hSAWKrdO5s.mp4 5.0 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/01. Introduction to Data Wrangling-4cFsT9KBRs8.mp4 5.0 MB
- Part 05-Module 02-Lesson 01_Data and Tables/07. Anatomy of a Table-PhvA7DCgtpw.mp4 5.0 MB
- Part 12-Module 02-Lesson 01_Introduction and Efficiency/10. Worst Case and Approximation-ZYcmui02J40.mp4 5.0 MB
- Part 05-Module 02-Lesson 01_Data and Tables/02. What's a Database - Intro to Relational Databases-V4gbPVdUOpw.mp4 5.0 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-9I8ysrRlmbA.mp4 5.0 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/25. Likes on the Web-nqMT8qTmQPY.mp4 5.0 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/08. BBC Measurement-t78PB0L8eDU.mp4 5.0 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/08. BBC Measurement-t78PB0L8eDU.mp4 5.0 MB
- Part 11-Module 01-Lesson 03_SVM/22. SVM C Parameter-WVg5-vxQDm8.mp4 5.0 MB
- Part 21-Module 01-Lesson 05_Scripting/24. Techniques For Importing Modules Part II-aASigWQ_XU0.mp4 5.0 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/12. Unpopular-FQoVv3o8vQg.mp4 5.0 MB
- Part 13-Module 01-Lesson 04_Design Principles/08. Unemployment Line Plot-EbD9ufptNd0.mp4 5.0 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/17. Identifying Data Types-7lKhG9bIMhs.mp4 5.0 MB
- Part 03-Module 01-Lesson 11_L4 Variability/10. IQR-9dYN_oIly9I.mp4 5.0 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/30. Code Structure and JavaScript-vPCDvEOjP7c.mp4 5.0 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/17. Find 98 CI-guhmjr4BqSo.mp4 5.0 MB
- Part 11-Module 01-Lesson 06_Datasets and Questions/10. Types of Data Quiz 6-eqFgLu0eqBE.mp4 5.0 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/05. SD for Meal Price-PPcSvB1htPc.mp4 5.0 MB
- Part 03-Module 01-Lesson 11_L4 Variability/06. Mark Z the Outlier-SADDVcUMQXM.mp4 5.0 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/16. Formula for Number of SDs-PXHHbaYnciY.mp4 5.0 MB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/28. Rent - Find CI-EZTRb9VBqAc.mp4 4.9 MB
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- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/20. Standard Error When n Increases-dU3LgB8i6XM.mp4 4.7 MB
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- Part 03-Module 01-Lesson 04_L2 Visualizing Data/01. Where Students Are From-Ig82ol_4Lgo.mp4 4.7 MB
- Part 19-Module 01-Lesson 02_Design/19. Same Data Different Stories-jSSnkz3QT5Y.mp4 4.7 MB
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- Part 17-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-Uf_KdjVT2Xg.mp4 4.7 MB
- Part 17-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.mp4 4.7 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.mp4 4.7 MB
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- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/09. Pandas Axis Names-8vr8KQuJLcQ.mp4 4.6 MB
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- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/02. Subway Data-WCcnGQY771c.mp4 4.6 MB
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- Part 12-Module 02-Lesson 05_Trees/09. Insert-j6PkPa2ZHWg.mp4 4.6 MB
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- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/02. Download Tableau Public-2bXsg6SKHG8.mp4 4.6 MB
- Part 09-Module 01-Lesson 02_R Basics/14. Setting Levels of Ordered Factors-qzs-3ltgTGo.mp4 4.6 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.mp4 4.6 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/10. Inspect GeoJSON-ThA4r4nzyj4.mp4 4.6 MB
- Part 01-Module 01-Lesson 01_Nanodegree Orientation/03. Projects and Progress-Z9ZLMQWsbsk.mp4 4.6 MB
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- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/19. Clean Programmatic Data Cleaning Process-9-T1CFuOqdQ.mp4 4.6 MB
- Part 13-Module 01-Lesson 04_Design Principles/09. Chart Suggestions-5V109AVr_JE.mp4 4.6 MB
- Part 13-Module 01-Lesson 04_Design Principles/20. Negative Space-3toURbAUt9s.mp4 4.6 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/43. D3 Parsing Dates and Times-DrOoJJWRAno.mp4 4.6 MB
- Part 11-Module 01-Lesson 13_PCA/27. PCA on the Enron Finance Data-w5XWkq_Y-rY.mp4 4.6 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/23. Age with Months Means-CuMPjPESfY0.mp4 4.6 MB
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- Part 03-Module 01-Lesson 08_L3 Central Tendency/10. More o' Mode!-wBduq7St2Ak.mp4 4.6 MB
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- Part 11-Module 01-Lesson 02_Naive Bayes/20. Calculating NB Accuracy--gJJmckPBAg.mp4 4.6 MB
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- Part 09-Module 01-Lesson 02_R Basics/07. RStudio Layout-LcHWlS84sao.mp4 4.5 MB
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- Part 17-Module 01-Lesson 13_Case Study AB tests/16. Drawing Conclusions-s-4ghG9vrGQ.mp4 4.5 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/18. Roll 5 Dice-GVoO-G6g3i0.mp4 4.5 MB
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- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/02. Tableau Desktop Download-End96VkLQc4.mp4 4.5 MB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/02. Tableau Desktop Download-End96VkLQc4.mp4 4.5 MB
- Part 16-Module 03-Lesson 01_Basic SQL/24. WHERE Statements -mN0uTnlXaxg.mp4 4.5 MB
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- Part 02-Module 01-Lesson 01_Intro to Research Methods/31. Controlled Factors-0aDtHA_lGc8.mp4 4.5 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/31. Controlled Factors-0aDtHA_lGc8.mp4 4.5 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/22. Golden Arches Theory-C9NFjtqf-xU.mp4 4.5 MB
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- Part 21-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.mp4 4.5 MB
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- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/22. Random Observed Values-KFIt2OC3wCI.mp4 4.5 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/23. Age with Months Means-28iU6GrDVfU.mp4 4.5 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/08. Data Visualization and You-m_nSthII_IE.mp4 4.5 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/16. Wrap Up-BGt2DQer6I4.mp4 4.5 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/15. Create Scatterplots-AtmfksGs-0I.mp4 4.5 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/28. Getting Logical-52o_ZtwFuXE.mp4 4.5 MB
- Part 13-Module 01-Lesson 04_Design Principles/45. The Grammar of Graphics-AdRbdZhLn04.mp4 4.5 MB
- Part 11-Module 01-Lesson 03_SVM/21. Kernel and Gamma-pH51jLfGXe0.mp4 4.5 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.mp4 4.4 MB
- Part 11-Module 01-Lesson 13_PCA/25. ReviewDefinition of PCA-oFBGXUUuKyI.mp4 4.4 MB
- Part 11-Module 01-Lesson 04_Decision Trees/15. Formula of Entropy-NHAatuG0T3Q.mp4 4.4 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/24. Order Measures of Center 1-Im9nOwm_fS8.mp4 4.4 MB
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- Part 13-Module 01-Lesson 04_Design Principles/34. Determining a Graphic's Effectiveness-BZERcWwQ-PM.mp4 4.4 MB
- Part 11-Module 01-Lesson 04_Decision Trees/03. Multiple Linear Questions-p_xPoBRJdtE.mp4 4.4 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/32. Reducing Uncertainty-zuFMhmKQ--o.mp4 4.4 MB
- Part 01-Module 01-Lesson 01_Nanodegree Orientation/09. How Does Project Submission Work-jCJa_VP6qgg.mp4 4.4 MB
- Part 13-Module 01-Lesson 04_Design Principles/50. Grammar of Graphics and D3 Functions-rADl_md-WNM.mp4 4.4 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/11. In-Place vs. Not In-Place-STqN_v6Iz5o.mp4 4.4 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/12. In-Place vs. Not In-Place-STqN_v6Iz5o.mp4 4.4 MB
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- Part 17-Module 01-Lesson 12_Hypothesis Testing/32. Hypothesis Testing Conclusion-nQFchD4XPPs.mp4 4.4 MB
- Part 17-Module 01-Lesson 02_Descriptive Statistics - Part II/04. 29 Number Summary-gzUN5zKLHjQ.mp4 4.4 MB
- Part 16-Module 02-Lesson 02_Data Analysis Process - Case Study 1/16. Type And Quality Plot - Part 1-iRCS1sE78KI.mp4 4.4 MB
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- Part 17-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-FLpXmoHp7eE.mp4 4.4 MB
- Part 11-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-iZYv1WdWwQo.mp4 4.4 MB
- Part 11-Module 01-Lesson 07_Regressions/01. Continuous Output Quiz-FOwEL4S-SVo.mp4 4.4 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/26. Thinking with Joins-HGQ25_ivLMQ.mp4 4.3 MB
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- Part 16-Module 03-Lesson 04_SQL Subqueries Temporary Tables/03. Your First Subquery-cTM1jPYXLoQ.mp4 4.3 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/23. Add a Scaling Layer-SsNYXdi3q-I.mp4 4.3 MB
- Part 13-Module 01-Lesson 05_Dimple.js/06. Dimple Bar Chart Code Overview-vuxN6EC_gso.mp4 4.3 MB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/31. Lesson Conclusion-quP9Njc2aMg.mp4 4.3 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/19. Requirement for Median-XCf2FDdHDGs.mp4 4.3 MB
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- Part 18-Module 02-Lesson 01_Gathering Data/09. HTML Structure-UjCbXQ8Coic.mp4 4.3 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/28. What Statistics-sbQXPn9xLvI.mp4 4.3 MB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/28. Probability of Obtaining Mean-ErwocwQVgYE.mp4 4.3 MB
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- Part 11-Module 01-Lesson 15_Evaluation Metrics/16. Precision and Recall-3vT0kSBCLdU.mp4 4.3 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/20. Precision and Recall-3vT0kSBCLdU.mp4 4.3 MB
- Part 12-Module 02-Lesson 05_Trees/15. Heaps-M3B0UJWS_ag.mp4 4.3 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.mp4 4.3 MB
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- Part 11-Module 01-Lesson 14_Validation/02. Benefits of Testing-N6hiygoT9FE.mp4 4.2 MB
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- Part 21-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.mp4 4.2 MB
- Part 11-Module 01-Lesson 12_Feature Selection/17. Lasso Code Quiz-FT0dM2um34E.mp4 4.2 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/18. Combining Pandas DataFrames-vB_Et1hz_2M.mp4 4.2 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/18. Combining Pandas DataFrames-vB_Et1hz_2M.mp4 4.2 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/10. Speed Scatterplot 3-4qJwfAWG_wQ.mp4 4.2 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/04. The Functional Art Obesity and Education-FpcCdcKFBKM.mp4 4.2 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/18. Finches - Find t-Statistic-eAN4NfHSgk8.mp4 4.2 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/22. Bootstrapping-42j3YclcZ4Q.mp4 4.2 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/10. Decision Tree Confusion Matrix-cUlEryXX9BM.mp4 4.2 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/05. Range of Proportions-szqkEhERjDI.mp4 4.2 MB
- Part 16-Module 03-Lesson 05_SQL Data Cleaning/02. Cleaning with String Functions-y1fduSu7Ovc.mp4 4.2 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/19. User Ages-Gl6anQql914.mp4 4.2 MB
- Part 11-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-lfZg7j5W7u8.mp4 4.2 MB
- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/05. JOINs with Comparison Operators-48AgxPygRuQ.mp4 4.2 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/09. t-Critical Values-kNsdYqgn9Mk.mp4 4.2 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/41. The World Cup Narrative-nnqZR2GdcAA.mp4 4.2 MB
- Part 17-Module 01-Lesson 04_Probability/01. Introduction to Probability-HeoQccoqfTk.mp4 4.2 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.mp4 4.2 MB
- Part 17-Module 01-Lesson 14_Regression/17. How Do We Know If Our Model Fits Well-0vPtPAqMHJE.mp4 4.2 MB
- Part 12-Module 02-Lesson 06_Graphs/07. Adjacency Matrices-FsFhoTALA1c.mp4 4.2 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/21. Great Job!-fm66AGJzRI0.mp4 4.2 MB
- Part 12-Module 02-Lesson 04_Maps and Hashing/09. String Keys-WyFwieF1NN4.mp4 4.2 MB
- Part 09-Module 01-Lesson 01_What is EDA/01. Data is Ubiquitous-ieiQqLicBjg.mp4 4.2 MB
- Part 16-Module 03-Lesson 02_SQL Joins/01. Introduction to JOINs-YvZ010GU-Ck.mp4 4.2 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/23. Equation for Precision-8QEAYYIyopY.mp4 4.2 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-8QEAYYIyopY.mp4 4.2 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/14. Other Sampling Distributions-Bxl0DonzX8c.mp4 4.2 MB
- Part 11-Module 01-Lesson 13_PCA/03. One-Dimensional, or Two-yhzQ_HJcwn8.mp4 4.2 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/04. Critical Values 0.01-9EFRrU4WBs4.mp4 4.2 MB
- Part 17-Module 01-Lesson 13_Case Study AB tests/04. Business Example-Wzz7omSDfEk.mp4 4.2 MB
- Part 03-Module 01-Lesson 11_L4 Variability/28. Avg. Squared Dev. in Words-kgc_y-oJObM.mp4 4.2 MB
- Part 06-Module 01-Lesson 03_Analyzing Data/20. Congrats-quszTmIRG8M.mp4 4.2 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/05. Assessing Risk-WjRAjbeG0RE.mp4 4.2 MB
- Part 11-Module 01-Lesson 07_Regressions/21. Linear Regression Errors-A4nPMEOcUd4.mp4 4.2 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/15. Two Useful Theorems-jQ5i7CALdRQ.mp4 4.2 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/07. Google Account-7C3vCAVaPXo.mp4 4.2 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/07. Google Account-7C3vCAVaPXo.mp4 4.2 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/18. Histograms Revisited-QII0tSAIex0.mp4 4.2 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/18. Roll 5 Dice-BgBEqvjLNig.mp4 4.2 MB
- Part 11-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-GMe5JT2_oUE.mp4 4.1 MB
- Part 03-Module 01-Lesson 11_L4 Variability/37. Sample SD-UbnrfnB8vcs.mp4 4.1 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/16. Formula for Number of SDs-Zw3X9BQQKB0.mp4 4.1 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/61. I am Legend-EdiM9XCqc0Y.mp4 4.1 MB
- Part 12-Module 02-Lesson 05_Trees/03. Tree Terminology-mPUsDUR_sj8.mp4 4.1 MB
- Part 11-Module 01-Lesson 09_Clustering/15. Counterintuitive Clusters-aveIz1JYeAg.mp4 4.1 MB
- Part 03-Module 01-Lesson 11_L4 Variability/03. What's the Difference-CJ_C0FZBCPY.mp4 4.1 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/22. Gender and Shoes-icmKCnOXQdI.mp4 4.1 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/14. Friendships Initiated-Keh5GwaSWdk.mp4 4.1 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/14. Internal Training-ClkOE3kdvLs.mp4 4.1 MB
- Part 11-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ujpjeaxE6GU.mp4 4.1 MB
- Part 12-Module 02-Lesson 08_Technical Interview - Python/01. Interview Introduction-dRsHYt1Lddc.mp4 4.1 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/08. Convert to Percentage-pUaHzMlfxrk.mp4 4.1 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/23. Predictions-hW_1ASU-j8A.mp4 4.1 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/15. Bias Variance Trade off Revisited-GGCzMmOpQqQ.mp4 4.1 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/26. Why Are Sampling Distributions Important-aDFDOCJKoH0.mp4 4.1 MB
- Part 09-Module 01-Lesson 02_R Basics/13. Ordered Factors-Mbd1jfsbvik.mp4 4.1 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/07. More Detail-E931DQC0hno.mp4 4.1 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/30. Hot Beverage-0O_5vNJycJg.mp4 4.1 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.mp4 4.1 MB
- Part 11-Module 01-Lesson 06_Datasets and Questions/11. Enron Dataset Mini-Project Video-0zGp5er3fy4.mp4 4.1 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/14. Adding a DataFrame to a Series-K2sUmPodhqg.mp4 4.0 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/14. Adding a DataFrame to a Series-K2sUmPodhqg.mp4 4.0 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/19. Number of Purchases-wZDgVcAW_es.mp4 4.0 MB
- Part 19-Module 01-Lesson 01_Introduction to Data Visualization/07. Univariate Plots-kgmYLreYB0A.mp4 4.0 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/28. Klout Sampling Distribution (Mean)-8o5Elsb2pFY.mp4 4.0 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/62. Adding Circles to the Legend-FlbCPYGCKqk.mp4 4.0 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/23. Clean Test 1 Solution -I1enB5CA85Q.mp4 4.0 MB
- Part 19-Module 01-Lesson 01_Introduction to Data Visualization/02. Why Do We Use Data Visualizations-iiOP4PE46f4.mp4 4.0 MB
- Part 20-Module 01-Lesson 01_Matrix Math and NumPy Refresher/04. Element-wise Matrix Operations-vjUykZyzko4.mp4 4.0 MB
- Part 21-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.mp4 4.0 MB
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- Part 13-Module 01-Lesson 08_Animation and Interaction/11. Drawing a Map from SVG Paths-WGD8AWQg9dE.mp4 4.0 MB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/23. Drawing Conclusions Example-yAl58ccwyvU.mp4 4.0 MB
- Part 16-Module 02-Lesson 02_Data Analysis Process - Case Study 1/06. Appending And NumPy-fdpKvovBMe4.mp4 4.0 MB
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- Part 03-Module 01-Lesson 08_L3 Central Tendency/12. Procedure for Finding Mean-lK2lDLdE6iA.mp4 4.0 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/39. Using extent() for scales-oazLw2JhKiU.mp4 4.0 MB
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- Part 18-Module 02-Lesson 01_Gathering Data/09. HTML File Structure -4ef_Dr_SXTw.mp4 4.0 MB
- Part 17-Module 01-Lesson 04_Probability/08. Two Flips 1-1txkcmxk3vU.mp4 4.0 MB
- Part 11-Module 01-Lesson 07_Regressions/11. Slope and Intercept-Ksn1g5fCe1I.mp4 4.0 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/17. Find Standard Error-ctx--oGjVgs.mp4 4.0 MB
- Part 07-Module 01-Lesson 01_GitHub Review/06. Quick Fixes-Lb9e2KemR6I.mp4 4.0 MB
- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/12. Introduction to Summary Statistics-PCZmHCrcMcw.mp4 4.0 MB
- Part 11-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-O0bvLU4l0is.mp4 4.0 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/19. Which-Tailed Test-bD9ULWEsW0M.mp4 4.0 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/05. Vectorized Operations-q5PjL9GkVtM.mp4 4.0 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/06. Vectorized Operations-q5PjL9GkVtM.mp4 4.0 MB
- Part 11-Module 01-Lesson 03_SVM/12. Coding Up the SVM-2ieszOqnpWs.mp4 4.0 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/27. L2 04 Tuples V3-33xN-AbTMoc.mp4 4.0 MB
- Part 13-Module 01-Lesson 04_Design Principles/28. How Visualizations can Save Lives-VUllIatQ3tI.mp4 4.0 MB
- Part 16-Module 03-Lesson 02_SQL Joins/02. Why Use Separate Tables-UIQBtpmqYOs.mp4 4.0 MB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/12. Gathering Data-JsVg95-amjI.mp4 4.0 MB
- Part 09-Module 01-Lesson 02_R Basics/05. Install RStudio on a Mac-buCEFFuLpYo.mp4 4.0 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/23. The Limits of Cross Sectional Data-D7m25cvqUpw.mp4 4.0 MB
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- Part 11-Module 01-Lesson 13_PCA/09. Second Principal Component Of New System-PqtW_Ux2_nY.mp4 4.0 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/39. Keyboards - CI for Dependent Samples-83VGOXwmjUw.mp4 3.9 MB
- Part 16-Module 02-Lesson 03_Data Analysis Process - Case Study 2/17. Conclusion-D_ioSXAre1A.mp4 3.9 MB
- Part 17-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.mp4 3.9 MB
- Part 16-Module 03-Lesson 01_Basic SQL/06. Why Do Analysts Like SQL-uCNOtUht2Xc.mp4 3.9 MB
- Part 18-Module 02-Lesson 01_Gathering Data/22. Why Do Analysts Like SQL-uCNOtUht2Xc.mp4 3.9 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/12. Types Of Errors - Part III-Z-srkCPsdaM.mp4 3.9 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/45. Parsing Attendance--5--eKjgU7k.mp4 3.9 MB
- Part 11-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-qnfVoUChRlQ.mp4 3.9 MB
- Part 12-Module 02-Lesson 06_Graphs/10. DFS-BC8jEidd2EQ.mp4 3.9 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.mp4 3.9 MB
- Part 12-Module 02-Lesson 05_Trees/18. Self-Balancing Trees-EHI548K3jiw.mp4 3.9 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/34. Bayesian Probabilities On Your Own-vjnKnaZa43M.mp4 3.9 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/13. Iterative Procedure-NcWS_BvM3IU.mp4 3.9 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/11. Missing Engagement Records-plnMY4iATyU.mp4 3.9 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/01. Which Major-mIzPoh_kqw4.mp4 3.9 MB
- Part 17-Module 01-Lesson 13_Case Study AB tests/07. Metric - Click Through Rate-EpfoKAwV_Eg.mp4 3.9 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/21. One tailed or two tailed-Cf8PvkUR1NQ.mp4 3.9 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/04. What You Can and Can't Do with AB Tests-Z4n3jR-FZP8.mp4 3.9 MB
- Part 17-Module 01-Lesson 11_Confidence Intervals/11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.mp4 3.9 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/11. Friend Count-GsSoLVhZPnA.mp4 3.9 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/23. Calculating Number of Pages Views Needed-ta5Nz-YCn6g.mp4 3.9 MB
- Part 11-Module 01-Lesson 13_PCA/15. From Four Features to Two-xJtmPbEfpFo.mp4 3.9 MB
- Part 11-Module 01-Lesson 13_PCA/10. Practice Finding Centers-PRjmvj6Vubs.mp4 3.9 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.mp4 3.9 MB
- Part 16-Module 03-Lesson 03_SQL Aggregations/25. DATE Functions I-E7Z6GMFVmIY.mp4 3.9 MB
- Part 03-Module 01-Lesson 11_L4 Variability/08. Where Is Q1-eLyI7n6GtbU.mp4 3.9 MB
- Part 11-Module 01-Lesson 03_SVM/14. Nonlinear Data-EllzeBecnkU.mp4 3.9 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/01. Intro to Creating Tables-mIIL-p2gaK4.mp4 3.9 MB
- Part 11-Module 01-Lesson 13_PCA/04. Slightly Less Perfect Data-9O7cJSP4C8w.mp4 3.8 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/10. Cut a Variable-PHJiH5WCBwg.mp4 3.8 MB
- Part 17-Module 01-Lesson 02_Descriptive Statistics - Part II/22. Outliers Advice-BhhDoTgYQmI.mp4 3.8 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/37. setInterval and clearInterval-r1sgfqg85us.mp4 3.8 MB
- Part 17-Module 01-Lesson 08_Python Probability Practice/02. Simulating Coin Flips-7YtQNZ3iy6o.mp4 3.8 MB
- Part 16-Module 03-Lesson 03_SQL Aggregations/02. NULLs-WYUkLKn6XCw.mp4 3.8 MB
- Part 18-Module 02-Lesson 01_Gathering Data/21. Storing Data-hcosH34b-yw.mp4 3.8 MB
- Part 18-Module 04-Lesson 01_Cleaning Data/05. Data Cleaning Process -exMGBx6Rs_E.mp4 3.8 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/02. Believe Results-kSyGb-QYfcU.mp4 3.8 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/02. Believe Results-kSyGb-QYfcU.mp4 3.8 MB
- Part 13-Module 01-Lesson 04_Design Principles/52. The Purpose of the Grammar of Graphics-pZyrfzuB5FE.mp4 3.8 MB
- Part 16-Module 03-Lesson 05_SQL Data Cleaning/05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.mp4 3.8 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/14. A Good Linear Decision Surface-z-cX1kYbC1w.mp4 3.8 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/18. Finches - Find t-Statistic-nBqsiW5r-98.mp4 3.8 MB
- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/15. The Median-WlT3eeW0rb0.mp4 3.8 MB
- Part 12-Module 02-Lesson 04_Maps and Hashing/05. Hashing-kCPFfHx_LgQ.mp4 3.8 MB
- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/08. Continuous vs. Discrete Data-BzgZebZD9kk.mp4 3.8 MB
- Part 16-Module 03-Lesson 06_[Advanced] SQL Window Functions/01. Introduction to Window Functions-u3qLjP8KMKc.mp4 3.8 MB
- Part 11-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-daVA3PI2E6o.mp4 3.8 MB
- Part 13-Module 01-Lesson 04_Design Principles/05. Visualizations in Data Science-UCKGGQ4LFjo.mp4 3.8 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/37. Congrats on Learning Naive Bayes-nQsYfzO7-00.mp4 3.8 MB
- Part 18-Module 04-Lesson 01_Cleaning Data/08. Addressing Missing Data First -ArAGZCUMj9Q.mp4 3.8 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.mp4 3.8 MB
- Part 11-Module 01-Lesson 03_SVM/19. Kernel Trick-3Xw6FKYP7e4.mp4 3.8 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/03. US, China, Pakistan-a1sLkQtfUKc.mp4 3.8 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/08. More than 262-c6PzC3WZD4I.mp4 3.8 MB
- Part 18-Module 03-Lesson 01_Assessing Data/10. Assessing Vs Exploring V2 -hVFZ6jFKOso.mp4 3.8 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/17. What Can You Expect-6yT3SlcmTl8.mp4 3.8 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/22. Popular Chris-VTgnBeCqHjE.mp4 3.8 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/36. Location of Mean-potr9cTBlxI.mp4 3.8 MB
- Part 17-Module 01-Lesson 02_Descriptive Statistics - Part II/18. Data in the Real World-HmipezTjTDY.mp4 3.8 MB
- Part 09-Module 01-Lesson 02_R Basics/01. The Power of R-Ca0MWoH_ZMY.mp4 3.8 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/13. Find the Fish Eaters-bcwFahJsww0.mp4 3.8 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/08. Exact Z-Scores-8XZqX03Y6Vk.mp4 3.8 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/15. Filling Missing Values-l3ergsxocok.mp4 3.8 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/16. Filling Missing Values-l3ergsxocok.mp4 3.8 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/17. Simulating From the Null-sL2yJtHZd8Y.mp4 3.8 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/10. Decision Tree Confusion Matrix-QBaNltqVj_0.mp4 3.8 MB
- Part 03-Module 01-Lesson 11_L4 Variability/05. Does Range Change-sCHCU42thsI.mp4 3.8 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.mp4 3.7 MB
- Part 11-Module 01-Lesson 10_Feature Scaling/13. Feature Scaling Mini-Project Video-e6zbTFctnJU.mp4 3.7 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/27. t-Critical and Decision-k1plVVNoyeY.mp4 3.7 MB
- Part 11-Module 01-Lesson 12_Feature Selection/12. Bias, Variance Number of Features Pt 2-1lNAvDubBfI.mp4 3.7 MB
- Part 17-Module 01-Lesson 11_Confidence Intervals/03. Sampling Distributions Confidence Intervals-gICzUhMVymo.mp4 3.7 MB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/20. Hierarchies-wl_AM-spH68.mp4 3.7 MB
- Part 11-Module 01-Lesson 12_Feature Selection/19. Lasso Coefficients with sklearn Quiz-nu2OKJwDvvE.mp4 3.7 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/18. More Caution with Correlation-sefN2vaxjSA.mp4 3.7 MB
- Part 03-Module 01-Lesson 11_L4 Variability/21. Be Happy and Get Rid of Negatives-_afLozDIcLw.mp4 3.7 MB
- Part 12-Module 02-Lesson 05_Trees/20. Tree Rotations-O5Yl-m0YbVA.mp4 3.7 MB
- Part 16-Module 02-Lesson 02_Data Analysis Process - Case Study 1/12. Pandas Groupby-aWc18hHpXRk.mp4 3.7 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/33. Control for What-kFKsCAyiPuY.mp4 3.7 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/33. Control for What-kFKsCAyiPuY.mp4 3.7 MB
- Part 07-Module 01-Lesson 01_GitHub Review/03. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.7 MB
- Part 11-Module 01-Lesson 12_Feature Selection/07. Getting Rid of Features-JZx1Pyzuo_s.mp4 3.7 MB
- Part 03-Module 01-Lesson 11_L4 Variability/17. Calculate Mean-vsID16a_suU.mp4 3.7 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/19. Number of Purchases-rQT88sMuM_M.mp4 3.7 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/13. Provided Information-FdRVdkASudw.mp4 3.7 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/11. Report Results Effect Size-jjByXJIiCLs.mp4 3.7 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/30. Wrap Up - Measures of Center-CBaw2pGOO3A.mp4 3.7 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/07. Compute r^2-cpDTPUNDo4U.mp4 3.7 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/03. Pseudo-Facebook User Data-8FD_iOP24UA.mp4 3.7 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/24. Noise in Conditional Means-Ur01espw7ko.mp4 3.7 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/22. Find Median with Outlier-RIJpz1jXO4A.mp4 3.7 MB
- Part 12-Module 02-Lesson 05_Trees/12. BSTs-abRNGLhGUmE.mp4 3.7 MB
- Part 12-Module 02-Lesson 06_Graphs/11. BFS-pol4kGNlvJA.mp4 3.7 MB
- Part 16-Module 03-Lesson 06_[Advanced] SQL Window Functions/02. Window Functions-gp0RPgkDHsQ.mp4 3.7 MB
- Part 17-Module 01-Lesson 14_Regression/16. How Do We Interpret Results-eLk0XGGMaCE.mp4 3.7 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/03. Tetrahedral Die-WtGcIl_o_40.mp4 3.7 MB
- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.mp4 3.7 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.mp4 3.7 MB
- Part 18-Module 03-Lesson 01_Assessing Data/22. Outro -lfWT0kLfe8c.mp4 3.7 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/10. Problems in the Data -Y288CGrwGy4.mp4 3.7 MB
- Part 17-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.mp4 3.7 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/07. Perceived Audience Size-zHnhKtVMhuc.mp4 3.7 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/26. Predicting Based on Many Features-oZqGlJbRZu4.mp4 3.7 MB
- Part 05-Module 02-Lesson 01_Data and Tables/16. Database Concepts-PXNaLWJ5SKg.mp4 3.7 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/22. Standard Error-w-7MoreKqaU.mp4 3.7 MB
- Part 11-Module 01-Lesson 12_Feature Selection/03. A New Enron Feature Quiz-Nmf80xB1DN0.mp4 3.7 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/04. Histogram of Users' Birthdays-20aUUbuzALM.mp4 3.7 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/14. After Aggregating-eeV5K5HKVx4.mp4 3.7 MB
- Part 05-Module 02-Lesson 01_Data and Tables/17. Summary-1Gp4l-ZTCVk.mp4 3.6 MB
- Part 17-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.mp4 3.6 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/08. Questions about Student Data-3uUwfgOUT0Y.mp4 3.6 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/10. Why Do It in the Database-6vfZYhhmuLU.mp4 3.6 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/23. Critical Values 0.05-P-CGd_Vzpk0.mp4 3.6 MB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/20. Calculating the p-value-_W3Jg7jQ8jI.mp4 3.6 MB
- Part 16-Module 03-Lesson 01_Basic SQL/09. Types Of Statements-vLvJbIz94C4.mp4 3.6 MB
- Part 18-Module 02-Lesson 01_Gathering Data/22. Types Of Statements-vLvJbIz94C4.mp4 3.6 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/29. Why D3-2qZ3d2WOvwE.mp4 3.6 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/06. Mode - Negatively Skewed Distribution-xBnhUJENAtk.mp4 3.6 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/07. Significance-FGtU7YDLX2Y.mp4 3.6 MB
- Part 12-Module 02-Lesson 06_Graphs/03. Directions and Cycles-lF0vUktQDPo.mp4 3.6 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/35. Increase Sample Size-kKT56up4n_o.mp4 3.6 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.mp4 3.6 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/45. Fixing the Buttons-NxM_iu4sDxw.mp4 3.6 MB
- Part 16-Module 03-Lesson 05_SQL Data Cleaning/11. CAST-LbyOq4ofLng.mp4 3.6 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/17. Assess Solution -lJEMTES2Ar8.mp4 3.6 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/21. A New Perspective-6BBUSWrSuFA.mp4 3.6 MB
- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/14. Performance Tuning Motivation-aY4_uYWEuoE.mp4 3.6 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/32. Location of Mean on Distribution-k3RUgrtFIl4.mp4 3.6 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/63. Adding Text to the Legend-VPI9MVqGiSM.mp4 3.6 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/06. Accessing Elements of a DataFrame-hZp9cVuiPo0.mp4 3.6 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/06. Accessing Elements of a DataFrame-hZp9cVuiPo0.mp4 3.6 MB
- Part 05-Module 02-Lesson 01_Data and Tables/14. Primary Key-80aFO4KmcPM.mp4 3.6 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.mp4 3.6 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/14. Average Karma Points per Post-NtldeU_E4sI.mp4 3.6 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/30. Bayes Rule Diagram-LIQrs3dviIs.mp4 3.6 MB
- Part 03-Module 01-Lesson 05_PS 2a Visualizing Data/01. 1. Blood Types-Ee2o-0arldg.mp4 3.6 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/06. DF - Marginal Totals-ykVKAjC9_TA.mp4 3.6 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.mp4 3.6 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/07. Working In The JavaScript Console-cj4kv_dtqY0.mp4 3.6 MB
- Part 05-Module 02-Lesson 01_Data and Tables/06. Zoo-YG8zfeRXAvM.mp4 3.6 MB
- Part 18-Module 03-Lesson 01_Assessing Data/18. Tidiness Programmatic Assessment Solution-LhdGQC_vjEs.mp4 3.6 MB
- Part 16-Module 03-Lesson 05_SQL Data Cleaning/01. Introduction to Data Cleaning-YTtH3NM2BX0.mp4 3.6 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/13. Acne Medication - t-Critical Values-coHA_ziMiws.mp4 3.5 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/55. Attendance at Every World Cup Game-LuCV0YuhoZE.mp4 3.5 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/16. Integer SDs-CtbwhKXSEMs.mp4 3.5 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/22. A Bigger, Better Data Set-uj6bLK91ZQI.mp4 3.5 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/06. Example of Sampling Distributions - Part I-1XezzP6kxUE.mp4 3.5 MB
- Part 18-Module 02-Lesson 01_Gathering Data/27. Conclusion-IanoSiET2nA.mp4 3.5 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/12. Affect t-Statistic-HMfd6rQrI0Y.mp4 3.5 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/05. DF - Add to 10-MxLG3eGzkI8.mp4 3.5 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/47. Creating Axes-3jEbyeW1Re4.mp4 3.5 MB
- Part 19-Module 01-Lesson 01_Introduction to Data Visualization/04. Further Motivation-sjGxUKrbKoI.mp4 3.5 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.mp4 3.5 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/39. Update the Title-ut83yNUYLmc.mp4 3.5 MB
- Part 18-Module 02-Lesson 01_Gathering Data/09. HTML and Trees-766JMEtZCPE.mp4 3.5 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/20. Prices Over Time-DIrLvDqhjCg.mp4 3.5 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.mp4 3.5 MB
- Part 19-Module 01-Lesson 01_Introduction to Data Visualization/17. Why Data Dashboards-8ni2lCqAVvQ.mp4 3.5 MB
- Part 12-Module 02-Lesson 05_Trees/19. Red-Black Trees - Insertion-dIuWLtWnkgs.mp4 3.5 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/14. -z-mXs7Rl-Ys.mp4 3.5 MB
- Part 18-Module 03-Lesson 01_Assessing Data/14. Programatic Assessment -Bk_Ve3-4eps.mp4 3.5 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/18. VIEWs-t_ZSrov187k.mp4 3.5 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/14. 141 Assess Intro V4-mdrAdtziXh4.mp4 3.5 MB
- Part 12-Module 02-Lesson 05_Trees/17. Heap Implementation-2LAdml6_pDY.mp4 3.5 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/33. Congrats-Qy8VYdqoxGA.mp4 3.5 MB
- Part 18-Module 03-Lesson 01_Assessing Data/18. Tidiness Programmatic Assessment -YrX-oiFilyA.mp4 3.5 MB
- Part 03-Module 01-Lesson 11_L4 Variability/03. What's the Difference-gUXB5GofFKM.mp4 3.5 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/02. Frequency-8LDZzqrCnS0.mp4 3.5 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/22. Comparing the Two Student Groups-eM82u21V7AM.mp4 3.5 MB
- Part 07-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.5 MB
- Part 17-Module 01-Lesson 14_Regression/06. Scatter Plots -DvlxZ37O4i8.mp4 3.5 MB
- Part 19-Module 01-Lesson 01_Introduction to Data Visualization/09. Scatter Plots -DvlxZ37O4i8.mp4 3.5 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/25. Causal Inference-Ozsae1O5LYs.mp4 3.5 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/25. Causal Inference-Ozsae1O5LYs.mp4 3.5 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/27. Reject or Fail to Reject-K2OncV6Bzo8.mp4 3.4 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/29. Congrats-psVUIDdsbA0.mp4 3.4 MB
- Part 19-Module 01-Lesson 01_Introduction to Data Visualization/21. What's Next-AwpX6HkhL0k.mp4 3.4 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/18. More Caution with Correlation-TU63rBOwXQ8.mp4 3.4 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/42. I Love Data Visualization-j24CoLV675I.mp4 3.4 MB
- Part 18-Module 03-Lesson 01_Assessing Data/04. Unclean Data Dirty Messy -WG6mil60jq0.mp4 3.4 MB
- Part 17-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.mp4 3.4 MB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/13. Worksheets-2xRKvQTRtlk.mp4 3.4 MB
- Part 17-Module 01-Lesson 08_Python Probability Practice/04. Simulating Many Coin Flips-AqpWQIj2V5Y.mp4 3.4 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/22. Understanding Noise Age to Age Months-E3NhvAC3Ghw.mp4 3.4 MB
- Part 03-Module 01-Lesson 11_L4 Variability/11. What Is an Outlier-XP3F26GGuhE.mp4 3.4 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/07. Mode - Uniform Distribution-TE2BZql64XY.mp4 3.4 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/33. Adding Bars and Text-EcwO8YPrn-M.mp4 3.4 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/03. Two-Dimensional NumPy Arrays-dutQvWMO0AU.mp4 3.4 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/03. Two-Dimensional NumPy Arrays-dutQvWMO0AU.mp4 3.4 MB
- Part 11-Module 01-Lesson 04_Decision Trees/01. Welcome To Decision Trees-5eAHVk1-Hz0.mp4 3.4 MB
- Part 21-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.mp4 3.4 MB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/08. 05 Hierarchies-vkHeQcI08yc.mp4 3.4 MB
- Part 11-Module 01-Lesson 04_Decision Trees/11. Min Samples Split-Mt5TWGYacJs.mp4 3.4 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/17. Find Standard Error-YNuoRW6EyEo.mp4 3.4 MB
- Part 11-Module 01-Lesson 08_Outliers/02. What Causes Outliers-W74CdB_pl5M.mp4 3.4 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/09. -zWNcZ-7k7Tw.mp4 3.4 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.mp4 3.4 MB
- Part 11-Module 01-Lesson 07_Regressions/23. Errors and Fit Quality-PRQDaHphZhw.mp4 3.4 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/13. Find the Fish Eaters-AnksTk1zI3Y.mp4 3.4 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/19. Standard Error for Avg of 5 Dice-RQ_AHYQTSDA.mp4 3.4 MB
- Part 11-Module 01-Lesson 10_Feature Scaling/07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.mp4 3.4 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/29. Blind-NNE8Cr77ytg.mp4 3.4 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/29. Blind-NNE8Cr77ytg.mp4 3.4 MB
- Part 17-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.mp4 3.4 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/12. Acne Medication t-Statistic-0iKPoKeApJI.mp4 3.4 MB
- Part 17-Module 01-Lesson 11_Confidence Intervals/14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.mp4 3.4 MB
- Part 07-Module 01-Lesson 01_GitHub Review/02. GitHub profile important items-prvPVTjVkwQ.mp4 3.4 MB
- Part 13-Module 01-Lesson 04_Design Principles/16. Charts Types and Design Elements-h2tIZuzMuQU.mp4 3.4 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/27. Analyzing Two Variables-NRMKNuox9z0.mp4 3.4 MB
- Part 11-Module 01-Lesson 13_PCA/12. Which Data is Ready for PCA-JSVsHbGUuIE.mp4 3.3 MB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/01. Instructor Introduction Juno Lee-to8Pp3PCOZo.mp4 3.3 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.mp4 3.3 MB
- Part 13-Module 01-Lesson 05_Dimple.js/23. Changing the Date Format-_jOLSNoKxhQ.mp4 3.3 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/30. r^2-mnfgAsAVaTQ.mp4 3.3 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/05. Vectorized Operations--InZYjwPsKs.mp4 3.3 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/06. Vectorized Operations--InZYjwPsKs.mp4 3.3 MB
- Part 11-Module 01-Lesson 09_Clustering/09. K-Means Cluster Visualization-iCTPBcowJRY.mp4 3.3 MB
- Part 13-Module 01-Lesson 04_Design Principles/18. Thinking Fast-CML5XbavX0w.mp4 3.3 MB
- Part 16-Module 03-Lesson 01_Basic SQL/12. Intro To SQL Workspaces-w6XcuK22YCk.mp4 3.3 MB
- Part 11-Module 01-Lesson 14_Validation/06. Where to use training vs. testing data 3-o7LnSu0CEb4.mp4 3.3 MB
- Part 17-Module 01-Lesson 14_Regression/10. What Defines A Line-lTqwhsSNP2c.mp4 3.3 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/11. Two-Tailed Test-4fWHT1f72B8.mp4 3.3 MB
- Part 17-Module 01-Lesson 13_Case Study AB tests/11. Metric - Average Reading Duration-w6Y9ZxHDEbw.mp4 3.3 MB
- Part 03-Module 01-Lesson 03_PS 1b Additional Practice (Optional)/09. 25. Caffeine--D3nyKUK1kY.mp4 3.3 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/11. Reading Excel Files-9L9bhMCHQ-M.mp4 3.3 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/22. NEW D3 Scale Syntax-ba-Luz-Ip0Y.mp4 3.3 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/09. Investigating the Data-zJ_wWRTQUTs.mp4 3.3 MB
- Part 07-Module 01-Lesson 01_GitHub Review/14. Participating in open source projects 2-elZCLxVvJrY.mp4 3.3 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/10. Two-Tailed t-Test-5mxtx0yqlyM.mp4 3.3 MB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/05. 03 Tableau Interface-q3E4CCYeIyM.mp4 3.3 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/10. DataFrame Vectorized Operations-vsLtePFaOFY.mp4 3.3 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/10. DataFrame Vectorized Operations-vsLtePFaOFY.mp4 3.3 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/25. Scatterplot Matrices-ov--BE6XTZU.mp4 3.3 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/25. Congratulations and Next Steps-ph4p8n-I7vw.mp4 3.3 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/20. Making Sense of Data-z2rZndd-cdc.mp4 3.3 MB
- Part 13-Module 01-Lesson 04_Design Principles/21. Negative Space and Cholera-VEXUQmVpazE.mp4 3.3 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/12. Plot the Grand Mean-tmdzYKNqDSs.mp4 3.3 MB
- Part 12-Module 02-Lesson 01_Introduction and Efficiency/04. Syntax-08M93RaBSgU.mp4 3.3 MB
- Part 11-Module 01-Lesson 10_Feature Scaling/09. Feature Scaling Formula Quiz 3-bY2fuRkH3iw.mp4 3.3 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/25. Order Measures of Center 2-5tdFjuAX9u0.mp4 3.3 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-dGS0SKu1ox0.mp4 3.3 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/16. Fail to Reject the Null-qUcZFxEXz2I.mp4 3.3 MB
- Part 11-Module 01-Lesson 08_Outliers/03. Outlier Selection-zTI5Ci5WWzM.mp4 3.3 MB
- Part 16-Module 03-Lesson 06_[Advanced] SQL Window Functions/07. Running Totals And Count-rNJwmnzUTxg.mp4 3.3 MB
- Part 03-Module 01-Lesson 11_L4 Variability/09. Q3 - Q1-tYaQItpvXUo.mp4 3.3 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/04. Probability Greater-5DZTwMn7GAY.mp4 3.3 MB
- Part 11-Module 01-Lesson 03_SVM/17. Separating with the New Feature--_jNi_5zEEQ.mp4 3.3 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/17. Identifying Data Types-J2L_ZU-YMxc.mp4 3.3 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/11. Repeating the Experiment-HH73nOnzRrc.mp4 3.3 MB
- Part 11-Module 01-Lesson 07_Regressions/08. Continuous Feature Quiz-TIs9j-QITxw.mp4 3.3 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-wIXO77zyVxs.mp4 3.2 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/11. Introduction To Notation-ISkBSUVH49M.mp4 3.2 MB
- Part 11-Module 01-Lesson 03_SVM/20. Playing Around with Kernel Choices-sy_jiSEy-Nw.mp4 3.2 MB
- Part 09-Module 01-Lesson 02_R Basics/09. Getting Help-ABVX527RODE.mp4 3.2 MB
- Part 11-Module 01-Lesson 05_Choose Your Own Algorithm/07. How Does Your Algorithm Compare-B2KnUg5iz0Y.mp4 3.2 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/30. Conclusion-33thdy0IjPE.mp4 3.2 MB
- Part 03-Module 01-Lesson 02_PS 1a Intro to Research Methods/18. 26. Video Games-SyszPG1615c.mp4 3.2 MB
- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/24. There Must Be A Better Way-oBp8YX2AgJw.mp4 3.2 MB
- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/01. Introduction to Advanced SQL-i0VaVPIKUks.mp4 3.2 MB
- Part 11-Module 01-Lesson 07_Regressions/24. Minimizing Sum of Squared Errors-E1XzT619Eug.mp4 3.2 MB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/17. Null and Alternative Hypothesis-BGNx2FiNFY0.mp4 3.2 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/09. Range Percentages-YetpTU5SmUg.mp4 3.2 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/24. Convert to Popularity Score--Sw8Dlo0fx4.mp4 3.2 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/13. Katie - SDs Below-COHUHzCELK4.mp4 3.2 MB
- Part 17-Module 01-Lesson 14_Regression/21. Recap-DzMi27LI5l4.mp4 3.2 MB
- Part 11-Module 01-Lesson 03_SVM/01. Welcome to SVM-gnAmmyQ_ZcQ.mp4 3.2 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/03. US, China, Pakistan-6K9Zztqbozw.mp4 3.2 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/14. Histogram-xE00wGLivN4.mp4 3.2 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/16. -_mge9UU-gpQ.mp4 3.2 MB
- Part 11-Module 01-Lesson 07_Regressions/12. Slope Quiz-Kn9v0KGDsvc.mp4 3.2 MB
- Part 16-Module 03-Lesson 01_Basic SQL/21. Order By Part II-XQCjREdOqwE.mp4 3.2 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/29. Conclusion-SRXNBlvW-xw.mp4 3.2 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/07. Proportion of Facebook Friends-swOg73wqLKM.mp4 3.2 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/59. New Data Stories in the Graphic-9yKFn_R2c_U.mp4 3.2 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/13. DataFrame apply() Use Case 2-C6okqt-jf08.mp4 3.2 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/13. DataFrame apply() Use Case 2-C6okqt-jf08.mp4 3.2 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/24. Order Measures of Center 1-Lv22Usic4A8.mp4 3.2 MB
- Part 11-Module 01-Lesson 12_Feature Selection/04. Visualizing Your New Feature-Tp5WCAJiCRY.mp4 3.2 MB
- Part 17-Module 01-Lesson 02_Descriptive Statistics - Part II/17. Shape of Distributions-UnN99AAYf8k.mp4 3.2 MB
- Part 11-Module 01-Lesson 13_PCA/16. Compression While Preserving Information-_TJeoCTDykE.mp4 3.2 MB
- Part 16-Module 03-Lesson 06_[Advanced] SQL Window Functions/10. Aggregates in Window Functions-Dxew5w3VF7k.mp4 3.2 MB
- Part 18-Module 02-Lesson 01_Gathering Data/25. You Can Iterate-QsJqoJYhTiw.mp4 3.2 MB
- Part 21-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.mp4 3.2 MB
- Part 12-Module 02-Lesson 06_Graphs/13. Eulerian Path-zS34kHSo7fs.mp4 3.1 MB
- Part 11-Module 01-Lesson 13_PCA/08. Principal Axis of New Coordinate System-i6zv8vyZBk0.mp4 3.1 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/02. Gapminder Data-lbNk216NW48.mp4 3.1 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/03. Gapminder Data-lbNk216NW48.mp4 3.1 MB
- Part 16-Module 03-Lesson 06_[Advanced] SQL Window Functions/19. Introduction to Percentiles-t7SX2ZEdxKA.mp4 3.1 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/13. Friending Rate-J0IqMgkl1Ws.mp4 3.1 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/14. Internal Training-E55ujT-kf5E.mp4 3.1 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/24. World Peace-OT2aD9XgOWg.mp4 3.1 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/24. World Peace-OT2aD9XgOWg.mp4 3.1 MB
- Part 11-Module 01-Lesson 12_Feature Selection/20. Using Lasso in sklearn Quiz-xYxD4GD1woo.mp4 3.1 MB
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- Part 05-Module 02-Lesson 01_Data and Tables/05. Data Meanings-0-LYyC_70jk.mp4 3.1 MB
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- Part 06-Module 01-Lesson 01_Working with MongoDB/30. Conclusion-mjPfjzOWiDw.mp4 3.0 MB
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- Part 02-Module 01-Lesson 01_Intro to Research Methods/09. Operational Definition-khRQslIcqyY.mp4 3.0 MB
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- Part 16-Module 03-Lesson 06_[Advanced] SQL Window Functions/16. Comparing Row to Previous Row-Z_x5ZJyDZog.mp4 2.9 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/10. Gettysburg or Wilma-NMnlSnu8DPI.mp4 2.9 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/14. Two-Tailed Critical Values 0.001-KD_AqWVG4Cc.mp4 2.9 MB
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- Part 17-Module 01-Lesson 12_Hypothesis Testing/01. Hypothesis Testing Introduction-Qi6F2rJAmrA.mp4 2.8 MB
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- Part 17-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.mp4 2.8 MB
- Part 21-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.mp4 2.8 MB
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- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/08. Calculating Correlation-yLql7kR_6GE.mp4 2.8 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/09. Gather Open Jupyter Notebook-IaExjsrVMgQ.mp4 2.8 MB
- Part 08-Module 03-Lesson 01_Craft Your Cover Letter/06. Write the Conclusion-i3ozyhGPmIg.mp4 2.8 MB
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- Part 09-Module 01-Lesson 07_Explore Many Variables/12. Plot the Grand Mean-pxaXkCjukGM.mp4 2.8 MB
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- Part 11-Module 01-Lesson 09_Clustering/13. Some challenges of k-means-e2CdlG5P4WA.mp4 2.8 MB
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- Part 12-Module 02-Lesson 05_Trees/02. Tree Basics-oaxLPzaXRDc.mp4 2.8 MB
- Part 17-Module 01-Lesson 14_Regression/02. Introduction to Machine Learning-pLcFPPI1L-0.mp4 2.8 MB
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- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/02. Subway Data-mIn7nMR092Q.mp4 2.8 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/17. Price vs Carat and Color-ziYBjY1kTC8.mp4 2.8 MB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/09. 06 Practice With Marks And Filters-RPAv7WLkutk.mp4 2.8 MB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/26. Communicating Results Example-Ae_UOATWmDM.mp4 2.8 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/07. Proportion of Facebook Friends-19ZQP5wzmKA.mp4 2.8 MB
- Part 11-Module 01-Lesson 09_Clustering/03. How Many Clusters-R6oIvdBtsZw.mp4 2.8 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-q_zfkCwRg1w.mp4 2.8 MB
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- Part 17-Module 01-Lesson 11_Confidence Intervals/01. Confidence Intervals Introduction-crleT4000ak.mp4 2.8 MB
- Part 12-Module 02-Lesson 06_Graphs/04. Connectivity-4x6u2KtNDg4.mp4 2.8 MB
- Part 05-Module 01-Lesson 05_Data Quality/20. Conclusion-fSwaNltHTio.mp4 2.8 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-HNo0KSYM2b4.mp4 2.8 MB
- Part 03-Module 01-Lesson 11_L4 Variability/02. Should You Get an Account-pZ_GUg7z548.mp4 2.8 MB
- Part 07-Module 01-Lesson 01_GitHub Review/12. Participating in open source projects-OxL-gMTizUA.mp4 2.8 MB
- Part 11-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-adXoa85rnPM.mp4 2.8 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/33. Keyboards Point Estimate for Difference-Rw3QBEnIlJY.mp4 2.8 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/14. Andy - SDs Below-xE3Rgjv2Vww.mp4 2.8 MB
- Part 03-Module 01-Lesson 11_L4 Variability/28. Avg. Squared Dev. in Words--_I23DcNTF0.mp4 2.8 MB
- Part 11-Module 01-Lesson 13_PCA/19. Advantages of Maximal Variance-TbT6a6qaj08.mp4 2.8 MB
- Part 09-Module 01-Lesson 02_R Basics/12. Factor Variables-0bkvt4KEqjE.mp4 2.8 MB
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- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/11. + vs. +=-J9FWaCBXhIk.mp4 2.8 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.mp4 2.8 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/01. Introduction-SvdlBB-ZjcQ.mp4 2.8 MB
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- Part 04-Module 02-Lesson 01_Data Analysis Process/27. Communication-P36LwI-R2Vw.mp4 2.7 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/15. Assess Solution --faitcQ7SKs.mp4 2.7 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/10. Intro to Screen Scraping-RJyVIgUUemE.mp4 2.7 MB
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- Part 03-Module 01-Lesson 13_L5 Standardizing/15. Who's More Unpopular-SCy8YH5xu3Q.mp4 2.7 MB
- Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/21. Visualization design -TTGYKv5Qta0.mp4 2.7 MB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.mp4 2.7 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/08. Probability Mean or = 3-JSlSjQwhIAI.mp4 2.7 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/23. Rent - t-Critical Values-WTmFRvH2AmI.mp4 2.7 MB
- Part 11-Module 01-Lesson 12_Feature Selection/17. Lasso Code Quiz-PlFG87qPSB4.mp4 2.7 MB
- Part 13-Module 01-Lesson 05_Dimple.js/13. Adding an Axis with Dimple-7okDT6V9Mmk.mp4 2.7 MB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/43. Table Calculations-VJfCNO0J9jY.mp4 2.7 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/34. Keyboards - SD of Differences-Ej8yntoeBw0.mp4 2.7 MB
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- Part 17-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.mp4 2.7 MB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/29. Rent - Margin of Error-q413Zzil8lQ.mp4 2.7 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/30. Sampling Distribution Shape-FJjI93XvC50.mp4 2.7 MB
- Part 13-Module 01-Lesson 04_Design Principles/27. Alternatives to Rainbow Palettes-7ZvLztG6xhg.mp4 2.7 MB
- Part 11-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-WxAWorS2SLg.mp4 2.7 MB
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- Part 09-Module 01-Lesson 07_Explore Many Variables/03. Third Qualitative Variable-qXvnpC2UdVU.mp4 2.7 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/16. Pandas groupby()-w3D0no7E8uw.mp4 2.7 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/16. Pandas groupby()-w3D0no7E8uw.mp4 2.7 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/13. Visualizing Data-tqXBhXfWiDE.mp4 2.7 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-OIxLJeZ_jNI.mp4 2.7 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/16. Same Scores-VLgrNOLomc0.mp4 2.7 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/16. Same Scores-VLgrNOLomc0.mp4 2.7 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/28. Getting Logical-TjY0Q66Yh-s.mp4 2.7 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.mp4 2.7 MB
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- Part 05-Module 01-Lesson 03_Data in More Complex Formats/18. How Many Form Elements-CZnFt1rOfwc.mp4 2.7 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/21. Sizing Circles for Attendance-Fkm7ogOussQ.mp4 2.7 MB
- Part 13-Module 01-Lesson 05_Dimple.js/34. Summary of Dimple and Chart Types-OrdADko3k1Q.mp4 2.7 MB
- Part 11-Module 01-Lesson 07_Regressions/33. What Data Is Good For Linear Regression-KFVdS328iC8.mp4 2.7 MB
- Part 11-Module 01-Lesson 07_Regressions/25. Algorithms for Minimizing Squared Errors-Dw_9Dp6wcJ8.mp4 2.7 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/05. SELECT WHERE-GUD6yl0A1Aw.mp4 2.7 MB
- Part 03-Module 01-Lesson 11_L4 Variability/25. Squared Deviations-mVBWg3aPPhI.mp4 2.6 MB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/06. Connecting To Data-WmsAtqbwRI0.mp4 2.6 MB
- Part 15-Module 01-Lesson 02_Design Principles/20. Onwards!-i-ulsdVHhCc.mp4 2.6 MB
- Part 19-Module 01-Lesson 02_Design/22. Onwards!-i-ulsdVHhCc.mp4 2.6 MB
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- Part 11-Module 01-Lesson 07_Regressions/32. Visualizing Regression-zQAHZhcsXoQ.mp4 2.6 MB
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- Part 13-Module 01-Lesson 02_D3 Building Blocks/06. Inspecting Elements-zAQygY7v2Ds.mp4 2.6 MB
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- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/11. Gather CSV Files-FpWi4tExVwg.mp4 2.6 MB
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- Part 16-Module 02-Lesson 02_Data Analysis Process - Case Study 1/17. Type And Quality Plot - Part 2-Ui1rF6McOBA.mp4 2.6 MB
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- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/40. Calculated Fields-tR-K9Mvd4B0.mp4 2.6 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/10. Self JOINs-P1aYwQhPnPQ.mp4 2.6 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.mp4 2.6 MB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/03. 01 Connecting To Data-zuJPPSlbW2c.mp4 2.6 MB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/06. 04 Aggregation Granularity-GuOytlkqdrQ.mp4 2.6 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/11. In-Place vs. Not In-Place-TVyv8acRPrs.mp4 2.6 MB
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- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/12. Ratio of SDs-E14J3Thd0lc.mp4 2.6 MB
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- Part 11-Module 01-Lesson 15_Evaluation Metrics/09. Confusion Matrix False Alarms-611qWzIxGmU.mp4 2.6 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-611qWzIxGmU.mp4 2.6 MB
- Part 05-Module 02-Lesson 01_Data and Tables/03. Looking at Tables-08GsrEIOP9Q.mp4 2.6 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.mp4 2.6 MB
- Part 21-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.mp4 2.6 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/01. Welcome to Lesson 2-53b_nnGcnBY.mp4 2.6 MB
- Part 09-Module 01-Lesson 02_R Basics/14. Setting Levels of Ordered Factors-HSeIrqW-YGw.mp4 2.6 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/27. Downsides of Surveys-mFV4DJuEFhQ.mp4 2.5 MB
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- Part 17-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.mp4 2.5 MB
- Part 21-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.mp4 2.5 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/03. Scatterplots-ZcavaOLXPSs.mp4 2.5 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/14. Vectorized Operations and Series Indexes-BqQbAqok8JU.mp4 2.5 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/15. Vectorized Operations and Series Indexes-BqQbAqok8JU.mp4 2.5 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/02. Gambling in Vegas-qbcBbbm3lt8.mp4 2.5 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/06. GeoJSON vs Shapefile-HFCs3LbQ5Z0.mp4 2.5 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/24. Adjusting the Map Aesthetics-tc1Aai8e-w0.mp4 2.5 MB
- Part 19-Module 01-Lesson 04_Making Dashboards Stories in Tableau/09. Extra Practice With Dashboards-Va2zNfnUC6o.mp4 2.5 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.mp4 2.5 MB
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- Part 11-Module 01-Lesson 07_Regressions/01. Continuous Output Quiz-udJvijJvs1M.mp4 2.5 MB
- Part 09-Module 01-Lesson 02_R Basics/11. R Markdown Documents-oBns-s2TDgI.mp4 2.5 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/13. CI Range for Larger Sample Size-tl4mqs0SqX4.mp4 2.5 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.mp4 2.5 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/25. Critical Region-SyNQ2mElRi0.mp4 2.5 MB
- Part 11-Module 01-Lesson 10_Feature Scaling/12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.mp4 2.5 MB
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- Part 17-Module 01-Lesson 03_Admissions Case Study/11. Dangers Of Statistics-UYZXqP562qg.mp4 2.5 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-n7gp8USw0Jw.mp4 2.5 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-n7gp8USw0Jw.mp4 2.5 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/16. Subqueries-YWZ-bgnZWaM.mp4 2.5 MB
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- Part 17-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.mp4 2.5 MB
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- Part 13-Module 01-Lesson 07_Narrative Structures/32. From Dimple to D3-0yJzBWRQi5U.mp4 2.5 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/07. ggpairs Function-XUZIGbX3JIg.mp4 2.5 MB
- Part 11-Module 01-Lesson 12_Feature Selection/11. Bias, Variance, and Number of Features-mpYpT6nZVEo.mp4 2.5 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/10. Gather Unzip File 1-V7STsHoZ2gA.mp4 2.5 MB
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- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/04. One-Dimensional Data in NumPy and Pandas-hDGFrCaAptM.mp4 2.5 MB
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- Part 13-Module 01-Lesson 05_Dimple.js/02. World Cup Data-GtR3dw2eq2w.mp4 2.5 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/11. Relationship Between SDs-8mHK1E3mR4E.mp4 2.5 MB
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- Part 07-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.mp4 2.4 MB
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- Part 17-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.mp4 2.4 MB
- Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/15. Conclusion-PXBdIBgFTL4.mp4 2.4 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/38. Something Fun-S3UsHyKkoww.mp4 2.4 MB
- Part 13-Module 01-Lesson 05_Dimple.js/07. Javascript Debugger-AzbaV5CT9es.mp4 2.4 MB
- Part 16-Module 03-Lesson 04_SQL Subqueries Temporary Tables/01. Introduction-2Y279421n3A.mp4 2.4 MB
- Part 11-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-c1gvsNx_ypg.mp4 2.4 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/64. All World Cup Games Recap-tVtEEL5i_BE.mp4 2.4 MB
- Part 11-Module 01-Lesson 11_Text Learning/03. A Very Nice Day-VERLCqDewrM.mp4 2.4 MB
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- Part 19-Module 01-Lesson 04_Making Dashboards Stories in Tableau/01. Communicating With Your Data-KDnca1zszIo.mp4 2.4 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/17. Sample Average-lR1rf2NQ6_M.mp4 2.4 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/17. Sample Average-lR1rf2NQ6_M.mp4 2.4 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/27. Analysis and Visualization (Before Cleaning)-jJH3H8Rqv8s.mp4 2.4 MB
- Part 11-Module 01-Lesson 11_Text Learning/12. Order of Operations in Text Processing-Fi3uuGj8bhs.mp4 2.4 MB
- Part 11-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ZlDdxWYv6jw.mp4 2.4 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/12. INSERT-NRCs22HJ-vI.mp4 2.4 MB
- Part 11-Module 01-Lesson 13_PCA/27. PCA on the Enron Finance Data-6ufIq2nrTwg.mp4 2.4 MB
- Part 03-Module 01-Lesson 11_L4 Variability/27. Average Squared Deviation-kmVqaJ6n9Vk.mp4 2.4 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/05. Frances Gerety-n9heeZ1Dw8A.mp4 2.4 MB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/17. 07 Calculated Fields-dXEvq03E5lc.mp4 2.4 MB
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- Part 05-Module 02-Lesson 05_Deeper into SQL/15. Inserts in DB API-pn3MunHovMc.mp4 2.4 MB
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- Part 16-Module 02-Lesson 01_The Data Analysis Process/28. Conclusion-xYqxZQmXCdI.mp4 2.4 MB
- Part 16-Module 03-Lesson 01_Basic SQL/43. AND BETWEEN Operators-nBuDPneWcKY.mp4 2.4 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/06. Inspecting Elements-AI9kNE00Los.mp4 2.4 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.mp4 2.4 MB
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- Part 17-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.mp4 2.4 MB
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- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/10. Constructs-7umkXt9U5lE.mp4 2.3 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/34. Prone to Misinterpretations-DUVB_GCcado.mp4 2.3 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/42. Adding Interactivity-KuihzV_LLAE.mp4 2.3 MB
- Part 12-Module 02-Lesson 05_Trees/08. Search and Delete-KbL-HK3ztX8.mp4 2.3 MB
- Part 17-Module 01-Lesson 13_Case Study AB tests/09. Experiment II-fq4eO7CybA4.mp4 2.3 MB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/39. Keyboards - CI for Dependent Samples-POKBAWQ2S7U.mp4 2.3 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/24. Rent - t-Statistic-A8xSEFaFuBc.mp4 2.3 MB
- Part 11-Module 01-Lesson 03_SVM/02. Separating Line-mzKPXz-Yhwk.mp4 2.3 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/05. Mean of Each Sample-n7II63ei3LU.mp4 2.3 MB
- Part 16-Module 03-Lesson 06_[Advanced] SQL Window Functions/13. Aliases for Multiple Window Functions-RWe03bULYnM.mp4 2.3 MB
- Part 11-Module 01-Lesson 07_Regressions/13. Intercept Quiz-f_SBhjbfmPw.mp4 2.3 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.mp4 2.3 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/23. Critical Values 0.05-KQZnIM7YWAg.mp4 2.3 MB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/07. Significance-f0ZWCaOKW1Q.mp4 2.3 MB
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- Part 11-Module 01-Lesson 02_Naive Bayes/16. NB Decision Boundary in Python-pauohSxuCVs.mp4 2.3 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/23. Clean Test 2-CyeB16-eGSg.mp4 2.3 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/21. Adding SVG Elements-Vx9n2qXwL6w.mp4 2.3 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/02. Gapminder Data-_Z4d6-d-glM.mp4 2.3 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/03. Gapminder Data-_Z4d6-d-glM.mp4 2.3 MB
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- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/47. What's Next-y46uDftUXHo.mp4 2.3 MB
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- Part 17-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.mp4 2.3 MB
- Part 16-Module 03-Lesson 05_SQL Data Cleaning/14. COALESCE-86vgu-ECBCQ.mp4 2.3 MB
- Part 07-Module 01-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.mp4 2.3 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/03. Meal Prices-f_WdPsfeLDs.mp4 2.3 MB
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- Part 16-Module 02-Lesson 02_Data Analysis Process - Case Study 1/09. Renaming Columns-3Oo4gUP2_Rw.mp4 2.2 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/10. Gather Unzip Solution -Pzy8nHA_EJc.mp4 2.2 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/26. Increase Sample Size-_Oh9-SQDtYg.mp4 2.2 MB
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- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/30. Double Blind-wRmbFgwsvQU.mp4 2.2 MB
- Part 16-Module 03-Lesson 06_[Advanced] SQL Window Functions/23. Window Functions Conclusion-2ZdocDMw7D8.mp4 2.2 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.mp4 2.2 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/06. Estimating Your Audience Size-FfzVPWM5DZ8.mp4 2.2 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/20. Percentage Under 60-MPPgcjHAfkA.mp4 2.2 MB
- Part 05-Module 02-Lesson 01_Data and Tables/08. Aggregations-TE9uvPwvpu4.mp4 2.2 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/08. More than One Mode-1GuHNqJNY2M.mp4 2.2 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/26. t-Statistic-P4tyKSWJUZc.mp4 2.2 MB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/04. Critical Values 0.01-6RNfHbEL4ZQ.mp4 2.2 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/01. Intro to the PDF-QTVWqk09q1A.mp4 2.2 MB
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- Part 03-Module 01-Lesson 20_L8 Estimation/12. Generalize CI-HgumODgJSdQ.mp4 2.2 MB
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- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/03. What Is Coming Up-oDJsnQcCPr4.mp4 2.2 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/08. The Demand of Diamonds-y8g6YeD7Gyk.mp4 2.2 MB
- Part 11-Module 01-Lesson 03_SVM/07. SVM Response to Outliers-w-czJptEyBk.mp4 2.2 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/40. Creating Time and Attendance Scales-PgAp8ob4hIM.mp4 2.2 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/12. What's a DB-API-06LsRU4pmkA.mp4 2.2 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/13. Manipulating DOM Nodes-RMUHrUa7HR0.mp4 2.2 MB
- Part 11-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-OrPlWwv19Jc.mp4 2.2 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/01. Likely or Unlikely-oIFRsiD2mQE.mp4 2.2 MB
- Part 16-Module 03-Lesson 01_Basic SQL/34. LIKE Operator-O5z6eWkNip4.mp4 2.2 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/10. Continents-LHLgEooUT4E.mp4 2.2 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/17. Alternative Hypothesis-Pk_BMZINZ0k.mp4 2.2 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.mp4 2.2 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-j2SP83afRS0.mp4 2.2 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-j2SP83afRS0.mp4 2.2 MB
- Part 11-Module 01-Lesson 03_SVM/07. SVM Response to Outliers-TEAGqUkQVdM.mp4 2.2 MB
- Part 17-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.mp4 2.2 MB
- Part 13-Module 01-Lesson 05_Dimple.js/10. Dimple Axes, Series and Fields-nSqsoDChbEU.mp4 2.2 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/05. Mode of Distribution-47JDwoDUxP8.mp4 2.2 MB
- Part 16-Module 03-Lesson 03_SQL Aggregations/22. Having-D4gmN0vnk58.mp4 2.2 MB
- Part 17-Module 01-Lesson 14_Regression/01. Regression Introduction-PKqSS0TzXeA.mp4 2.2 MB
- Part 11-Module 01-Lesson 04_Decision Trees/20. Entropy Calculation Part 5-B_fHrMIzIgE.mp4 2.2 MB
- Part 17-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.mp4 2.1 MB
- Part 18-Module 02-Lesson 01_Gathering Data/17. JSON Files In Python-8JdUknZP59Q.mp4 2.1 MB
- Part 17-Module 01-Lesson 13_Case Study AB tests/18. Conclusion-qmGjRpMVBz8.mp4 2.1 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/16. Mean Number of Shoes-DtdsK8K1OtI.mp4 2.1 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/22. A Bigger, Better Data Set-q46nO0mznXM.mp4 2.1 MB
- Part 03-Module 01-Lesson 11_L4 Variability/17. Calculate Mean-dXS9vjgXyg4.mp4 2.1 MB
- Part 12-Module 02-Lesson 04_Maps and Hashing/08. Hash Maps-A-ahUVi8pYQ.mp4 2.1 MB
- Part 17-Module 01-Lesson 13_Case Study AB tests/01. Case Study Introduction-J5uvdPxHIfs.mp4 2.1 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/05. Thinking in Ratios-r4ZOwz3_oXs.mp4 2.1 MB
- Part 11-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-I_v6ueT0k3M.mp4 2.1 MB
- Part 11-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-CIxvkVy1UBI.mp4 2.1 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/05. Proportion Between 170 and 210-OBxWYhF4VdI.mp4 2.1 MB
- Part 16-Module 03-Lesson 03_SQL Aggregations/03. Data Types and NULLs-RgTcYwKqtYI.mp4 2.1 MB
- Part 16-Module 03-Lesson 02_SQL Joins/03. Your First JOIN-HkX9fkNRbU8.mp4 2.1 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/04. NumPy Axis-8HFOaRdDpek.mp4 2.1 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/04. NumPy Axis-8HFOaRdDpek.mp4 2.1 MB
- Part 16-Module 03-Lesson 01_Basic SQL/27. WHERE with Non-Numeric Data-_pLx7MHOyjo.mp4 2.1 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/12. Limiting the Axes-1W3QAzrybMk.mp4 2.1 MB
- Part 11-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-WxAO6ByCvew.mp4 2.1 MB
- Part 16-Module 03-Lesson 05_SQL Data Cleaning/17. Data Cleaning Conclusion-KkHqnvD9BWY.mp4 2.1 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/25. Corrected Standard Error-_h2C0TCvXvA.mp4 2.1 MB
- Part 17-Module 01-Lesson 14_Regression/15. Fitting A Regression Line In Python-0CiMDbEUeS4.mp4 2.1 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/14. Refining the Question-P8ZxaAQTZXQ.mp4 2.1 MB
- Part 11-Module 01-Lesson 07_Regressions/22. Error Quiz-PYNWtLgtRfU.mp4 2.1 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/12. Using the Z-Table-EeT7osOfzJE.mp4 2.1 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.mp4 2.1 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/01. Compare Sample Means-l9Sy4qoLHVo.mp4 2.1 MB
- Part 09-Module 01-Lesson 02_R Basics/17. Congratulations-GxhPaVbDHnw.mp4 2.1 MB
- Part 17-Module 01-Lesson 03_Admissions Case Study/01. Admissions Case Study Introduction-FGbxq1hQgtk.mp4 2.1 MB
- Part 13-Module 01-Lesson 04_Design Principles/32. Do No Harm-BIQPOMfDXjs.mp4 2.1 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/17. Finches - Mean and s-XhVy8ALgO0U.mp4 2.1 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-FnNveASivMA.mp4 2.1 MB
- Part 17-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.mp4 2.1 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.mp4 2.1 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/24. Biased Graphs-YY31Ggi4XyQ.mp4 2.1 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/34. Does Low Probability = Causation-KaBa9N2TdnQ.mp4 2.1 MB
- Part 16-Module 02-Lesson 02_Data Analysis Process - Case Study 1/04. Gathering Data-r7BHGq_0P9Q.mp4 2.1 MB
- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/05. Data Types-gT6EYlsLZkE.mp4 2.1 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/07. The One Thing SQL is Terrible At-wrjCB1abNyM.mp4 2.1 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/05. CREATE TABLE and Types-7DCw86WMpYo.mp4 2.1 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.mp4 2.1 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/34. Katie's Hand-i87r_q2SrLI.mp4 2.1 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/34. Katie's Hand-i87r_q2SrLI.mp4 2.1 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/20. Standard Error When n Increases-mbCavcKeZqo.mp4 2.1 MB
- Part 03-Module 01-Lesson 11_L4 Variability/14. Mean Within IQR-sl51Cpwy5RA.mp4 2.1 MB
- Part 12-Module 02-Lesson 07_Case Studies in Algorithms/02. Shortest Path Problem-huKUM97Vve8.mp4 2.1 MB
- Part 13-Module 01-Lesson 04_Design Principles/17. Pre-attentive Processing-n1EbdV_CTcc.mp4 2.1 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-gbkORDbJM50.mp4 2.1 MB
- Part 17-Module 01-Lesson 08_Python Probability Practice/08. Python Probability Conclusion-4JYar5GykXk.mp4 2.1 MB
- Part 16-Module 03-Lesson 03_SQL Aggregations/05. COUNT NULLs-ngxgqfFFFLQ.mp4 2.0 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/02. Action Time-80DSWU8ZUoQ.mp4 2.0 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/29. Klout Sampling Distribution (SD)-Qlg5L4TWcZs.mp4 2.0 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/20. Alternative Hypothesis-EH59aCNpHS8.mp4 2.0 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.mp4 2.0 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/20. Calculating NB Accuracy-m989etSymQQ.mp4 2.0 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/16. Smaller Bin-LCrrPfsXaVc.mp4 2.0 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-Lb_v4vj3TNs.mp4 2.0 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-Lb_v4vj3TNs.mp4 2.0 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-aBBmlnd7okQ.mp4 2.0 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/24. Cancer Test-uHIZl6MCiPY.mp4 2.0 MB
- Part 16-Module 03-Lesson 01_Basic SQL/06. Why Businesses Choose Databases-j4ey7--h9r8.mp4 2.0 MB
- Part 18-Module 02-Lesson 01_Gathering Data/22. Why Businesses Choose Databases-j4ey7--h9r8.mp4 2.0 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/35. Keyboards - t-Statistic-aE-ZZw8QVWo.mp4 2.0 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/20. The Martini Glass-h8b8SOsSiT4.mp4 2.0 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/13. Katie - SDs Below-oV8f7eO_1hA.mp4 2.0 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/11. Find the Mean-El5cY2jlzuM.mp4 2.0 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/17. Evidence to Reject the Null-a5RRRMRZl8I.mp4 2.0 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/18. Better Sample-I487nBkmUoM.mp4 2.0 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/18. Better Sample-I487nBkmUoM.mp4 2.0 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/06. Meal Price SEM-jHzmtwd-xTs.mp4 2.0 MB
- Part 11-Module 01-Lesson 13_PCA/20. Maximal Variance and Information Loss-DX_f02bUHT0.mp4 2.0 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/04. Average Meal Price-m9IQqYf6ThU.mp4 2.0 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/17. Tenure-jKZAcZw9xLA.mp4 2.0 MB
- Part 11-Module 01-Lesson 07_Regressions/22. Error Quiz-O5B-Z5SUoc8.mp4 2.0 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.mp4 2.0 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/07. Meal Price t-Statistic-y1QSAIUlupg.mp4 2.0 MB
- Part 03-Module 01-Lesson 05_PS 2a Visualizing Data/01. 1. Blood Types-qhhrjvLF8H8.mp4 2.0 MB
- Part 11-Module 01-Lesson 09_Clustering/16. Counterintuitive Clusters 2-xSQTzAeeoEc.mp4 2.0 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/16. Roll 2 Dice-D4bQbaCAUoE.mp4 2.0 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/12. INSERT-49B5hlxzTRc.mp4 2.0 MB
- Part 11-Module 01-Lesson 03_SVM/13. Nonlinear SVMs-6UgInp_gf1w.mp4 2.0 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/45. Parsing Attendance-QReeBef_7vM.mp4 2.0 MB
- Part 13-Module 01-Lesson 05_Dimple.js/05. A Simple HTTP Server-h8Fa24E_I5s.mp4 2.0 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/30. Filtering-vXGDYzAo22Y.mp4 2.0 MB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/03. Assessing the Quality of Data Pt. 1-Dezhyk312lQ.mp4 2.0 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/24. Biased Graphs-VkZ-W3kh9PA.mp4 2.0 MB
- Part 17-Module 01-Lesson 03_Admissions Case Study/14. Conclusion-XiR_37bYA84.mp4 2.0 MB
- Part 11-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-V-jzhJoeZj8.mp4 2.0 MB
- Part 03-Module 01-Lesson 11_L4 Variability/01. Social Networkers' Salaries-4nYdxMABeBc.mp4 2.0 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/19. Null Hypothesis-ldiOcCeZvx4.mp4 1.9 MB
- Part 16-Module 03-Lesson 01_Basic SQL/46. OR Operator-3vLGEuXAAvA.mp4 1.9 MB
- Part 18-Module 02-Lesson 01_Gathering Data/14. Text Files In Python 2-9YPOlROXNZM.mp4 1.9 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/14. Clarity and Price-b7oUjvNJWCc.mp4 1.9 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/21. t-Critical-9-yTPJl_DIw.mp4 1.9 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.mp4 1.9 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/19. Between 10 and 16-lMm_BrpheLM.mp4 1.9 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/04. Mode of Dataset-80BAbiEWsaY.mp4 1.9 MB
- Part 11-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-EDFp4wU5BMo.mp4 1.9 MB
- Part 11-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-zqmrW9N9WGw.mp4 1.9 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/04. Percent of Sample Means-kuTOS0wZJd4.mp4 1.9 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/21. Splitting out Passing Students -Vf-EK6vg6Uc.mp4 1.9 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/09. Maps in D3-DAfs_MCYP0o.mp4 1.9 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/03. Supervised Classification Example-t18YC5rLyWg.mp4 1.9 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/01. Where Students Are From-_zx9cahSRNE.mp4 1.9 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/36. Animating Each Year-m8d9J5w3axY.mp4 1.9 MB
- Part 21-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.mp4 1.9 MB
- Part 11-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-swoZxkrxIB0.mp4 1.9 MB
- Part 03-Module 01-Lesson 06_PS 2b Additional Practice (Optional)/01. 7. Ode to n-c2Das5kJFe4.mp4 1.9 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/11. Operational Definitions-1Wajquw8I10.mp4 1.9 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/11. Operational Definitions-1Wajquw8I10.mp4 1.9 MB
- Part 16-Module 03-Lesson 01_Basic SQL/40. NOT Operator-dSQF87oW8a0.mp4 1.9 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.mp4 1.9 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/44. Adding Events to Buttons-UXRemP4hIyw.mp4 1.9 MB
- Part 03-Module 01-Lesson 11_L4 Variability/36. Find Values-JP-mQPN9Sl4.mp4 1.9 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/58. Juxtaposition and Comparison-abaD-wvlbkg.mp4 1.9 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/13. Price vs. Carat and Clarity-J0Ls7F-lN4o.mp4 1.9 MB
- Part 11-Module 01-Lesson 03_SVM/14. Nonlinear Data-PxE2bbG2Hkw.mp4 1.9 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/17. Finches - Mean and s-nInJKeAmAeY.mp4 1.9 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/16. Mean with Outlier-6pxpT3bZI54.mp4 1.9 MB
- Part 17-Module 01-Lesson 02_Descriptive Statistics - Part II/31. Descriptive Statistics Summary-Fe7Gta2SfLA.mp4 1.9 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/32. Enter Update Exit-lmDLMOPOj5I.mp4 1.9 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-Jbqf8OBORDg.mp4 1.9 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-Jbqf8OBORDg.mp4 1.9 MB
- Part 11-Module 01-Lesson 12_Feature Selection/20. Using Lasso in sklearn Quiz-IC47yHGmgMk.mp4 1.9 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/07. Loading Data into a DataFrame-N66_j0gxuhg.mp4 1.9 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/07. Loading Data into a DataFrame-N66_j0gxuhg.mp4 1.9 MB
- Part 13-Module 01-Lesson 04_Design Principles/49. Advantages of the Grammar of Graphics-JsFlZfNpVl4.mp4 1.9 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/01. Welcome!-cCOHhYXU6G0.mp4 1.9 MB
- Part 13-Module 01-Lesson 04_Design Principles/46. Tabular Data versus Line Chart-9DHPaCjg9HM.mp4 1.9 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/16. Null Hypothesis-kW_p0VHNEPM.mp4 1.9 MB
- Part 11-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-rexAHoCGFMs.mp4 1.9 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.mp4 1.9 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/06. Mean of Sample Means-TpsMv7isR6U.mp4 1.9 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/20. Making Sense of Data-ZywJPwlHuh8.mp4 1.8 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/19. Standard Error for Avg of 5 Dice-18DMT9dnLPE.mp4 1.8 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/01. Chess-mCZxHNB1u4w.mp4 1.8 MB
- Part 13-Module 01-Lesson 04_Design Principles/23. Careful with Color-aKwXLGs0Rfs.mp4 1.8 MB
- Part 09-Module 01-Lesson 02_R Basics/15. Data Munging-q_Ghc6VsDo0.mp4 1.8 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/31. Controlled Factors-2ijmV_oIGHo.mp4 1.8 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/31. Controlled Factors-2ijmV_oIGHo.mp4 1.8 MB
- Part 16-Module 03-Lesson 04_SQL Subqueries Temporary Tables/12. Subqueries Using WITH-IszTmDKyKHI.mp4 1.8 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/18. Color and Price-Ck4i1Yk4pT0.mp4 1.8 MB
- Part 17-Module 01-Lesson 02_Descriptive Statistics - Part II/01. 26 Spread Part 1-zb76Z_viYLY.mp4 1.8 MB
- Part 11-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-3FO2y4tlZ3A.mp4 1.8 MB
- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION 3-oVGmi4zBOT8.mp4 1.8 MB
- Part 11-Module 01-Lesson 13_PCA/07. Center of a New Coordinate System-1ask5zHGQKM.mp4 1.8 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/15. Getting Data from First Week -iT1vtUy2utg.mp4 1.8 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/15. Treatment-zWmH6ajoLtE.mp4 1.8 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/17. One Query, Not Two-_c_chcNiHyo.mp4 1.8 MB
- Part 11-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-oOUx6NHppdQ.mp4 1.8 MB
- Part 11-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-erdekkpG-Do.mp4 1.8 MB
- Part 11-Module 01-Lesson 09_Clustering/05. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.mp4 1.8 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.mp4 1.8 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.mp4 1.8 MB
- Part 18-Module 03-Lesson 01_Assessing Data/16. Quality Programatic Assessment 2 -Ngl_TsqhMsc.mp4 1.8 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.mp4 1.8 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/06. Mean of Sample Means-7iOMOs56gZE.mp4 1.8 MB
- Part 11-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-U2yZxIeG2t0.mp4 1.8 MB
- Part 11-Module 01-Lesson 07_Regressions/07. Income Continuous or Discrete--uRSI_oybJQ.mp4 1.8 MB
- Part 16-Module 02-Lesson 02_Data Analysis Process - Case Study 1/02. Data Overview-V-iPdJfrscQ.mp4 1.8 MB
- Part 17-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.mp4 1.8 MB
- Part 03-Module 01-Lesson 11_L4 Variability/31. Calculate SD-E1iDHrumLoo.mp4 1.8 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/10. Moira's Outlier-vxS-Kh4eI0U.mp4 1.8 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/33. What Happened-6mxt0l8IpOM.mp4 1.8 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/15. Filling Missing Values--xVYQQHNNuM.mp4 1.8 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/16. Filling Missing Values--xVYQQHNNuM.mp4 1.8 MB
- Part 16-Module 03-Lesson 01_Basic SQL/37. IN Operator-_JPO7wwX3uA.mp4 1.8 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/12. Acne Medication t-Statistic-LDdm06-FHYI.mp4 1.8 MB
- Part 11-Module 01-Lesson 12_Feature Selection/05. Beware of Feature Bugs!-UjaFiRdHPZg.mp4 1.8 MB
- Part 13-Module 01-Lesson 05_Dimple.js/33. Advantages with CSS-lCTey7ryZ1A.mp4 1.8 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/04. DF - Choose n Numbers-4XEJJC-vSRw.mp4 1.8 MB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/15. Standardizing Each Column Again-7NofF-s1UGY.mp4 1.8 MB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/15. Standardizing Each Column Again-7NofF-s1UGY.mp4 1.8 MB
- Part 13-Module 01-Lesson 04_Design Principles/53. Grammar of Graphics Pipeline and D3-8vi9b_LHHz8.mp4 1.7 MB
- Part 12-Module 02-Lesson 05_Trees/13. BST Complications-pcB0wV7myy4.mp4 1.7 MB
- Part 11-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.mp4 1.7 MB
- Part 03-Module 01-Lesson 11_L4 Variability/25. Squared Deviations-oA37LlWNYCw.mp4 1.7 MB
- Part 11-Module 01-Lesson 07_Regressions/08. Continuous Feature Quiz-tEU11PXloLU.mp4 1.7 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.mp4 1.7 MB
- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.mp4 1.7 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.mp4 1.7 MB
- Part 03-Module 01-Lesson 11_L4 Variability/14. Mean Within IQR-o2n0nea_1T0.mp4 1.7 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/60. Context for the Reader-_GkNEO9qeWI.mp4 1.7 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/06. Comparison Operators-0X7voyhbZ8k.mp4 1.7 MB
- Part 11-Module 01-Lesson 07_Regressions/18. AgeNet Worth Regression in sklearn-5aghWw9eIAM.mp4 1.7 MB
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- Part 16-Module 03-Lesson 01_Basic SQL/46. OR Statement-DRmkKVhe6-s.mp4 1.7 MB
- Part 03-Module 01-Lesson 11_L4 Variability/22. Absolute Deviations-baWB4xYNMIs.mp4 1.7 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/02. Probability-Wf7m7ygRvz8.mp4 1.7 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.mp4 1.7 MB
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- Part 19-Module 01-Lesson 04_Making Dashboards Stories in Tableau/12. Congratulations!-sCQ7ZViODaw.mp4 1.7 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.mp4 1.7 MB
- Part 17-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.mp4 1.7 MB
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- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/15. Price vs Carat and Cut-vhDpWgdpSHg.mp4 1.7 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/17. Tenure-095MTpItufM.mp4 1.7 MB
- Part 11-Module 01-Lesson 13_PCA/13. When Does an Axis Dominate-4hJlaYRHdpA.mp4 1.7 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/27. D3 Web Technologies-LoLj_Ecohew.mp4 1.7 MB
- Part 03-Module 01-Lesson 11_L4 Variability/27. Average Squared Deviation-xW3JXTmUlEE.mp4 1.7 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/14. CI When n = 250-mCp7zkPv6o4.mp4 1.7 MB
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- Part 16-Module 03-Lesson 01_Basic SQL/30. Arithmetic Operators-fgcJdiNECxI.mp4 1.6 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/29. Cohen's d-smedG3-3mOE.mp4 1.6 MB
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- Part 13-Module 01-Lesson 04_Design Principles/41. Size of the Effect in the Data-3nZ2FL7C3sU.mp4 1.6 MB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/28. Show Me-Jpk99mgmwaA.mp4 1.6 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-DLCq1-kOGX0.mp4 1.6 MB
- Part 13-Module 01-Lesson 05_Dimple.js/21. Two Identical Charts-8IzQG_2WAcs.mp4 1.6 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/14. Average Karma Points per Post-p-ma7uqFNCM.mp4 1.6 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/13. Acne Medication - t-Critical Values-CRlOfleyRNY.mp4 1.6 MB
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- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/18. Shoes - t-Statistic-AeByX89sS4g.mp4 1.6 MB
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- Part 03-Module 01-Lesson 08_L3 Central Tendency/17. What Can You Expect-2wHoLFHnPZs.mp4 1.6 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.mp4 1.6 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/19. Shoes - Decision-fgg81QJg89s.mp4 1.6 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/37. Bayes Rule Conclusion-vlfDGCD8w0s.mp4 1.6 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.mp4 1.6 MB
- Part 11-Module 01-Lesson 09_Clustering/04. Match Points with Clusters-lS5DfbsWH34.mp4 1.6 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/57. Styling Home Games with D3 Code-pq31lSXEQl0.mp4 1.6 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/23. Mean Difference-eTNZnE_O_RM.mp4 1.6 MB
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- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/09. Connecting Demand and Price Distribution-Rj6g9jpX9MQ.mp4 1.6 MB
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- Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/03. Anscombe’s Quartet-Ftp3mmItV-k.mp4 1.6 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.mp4 1.6 MB
- Part 13-Module 01-Lesson 05_Dimple.js/14. Adding a Series with Dimple-clyCsNwceP0.mp4 1.6 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/11. Generalize Point Estimate-JveZxEnq9bI.mp4 1.6 MB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/13. Two-Tailed Critical Values 0.01-Kb_OuJuCFH0.mp4 1.6 MB
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- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/17. Alternative Hypothesis-u6vw-FcHT-M.mp4 1.6 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/12. Procedure for Finding Mean-nRurXCTYxG4.mp4 1.6 MB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/31. Raining-UNASgS676Hc.mp4 1.6 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/06. Proportion Between 180 and 200--scGDVG9KJ8.mp4 1.6 MB
- Part 16-Module 03-Lesson 03_SQL Aggregations/30. CASE Statements and Aggregations-asSXB6iD3z4.mp4 1.6 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/34. Updated World Cup Data Set-tA_je-rSL7c.mp4 1.5 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/25. Reassess and Iterate-eu1gO_76pSY.mp4 1.5 MB
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- Part 13-Module 01-Lesson 05_Dimple.js/25. Bar Chart Issues-MNsMZH1Y0Js.mp4 1.5 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/27. D3 Web Technologies-9frwavCQvGg.mp4 1.5 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/23. Mean Difference-yu70KwoztEg.mp4 1.5 MB
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- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/12. DataFrame apply()-aGEUhSRys8w.mp4 1.5 MB
- Part 11-Module 01-Lesson 14_Validation/05. Where to use training vs. testing data 2-5v1jxDIwGqk.mp4 1.5 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/04. Average Meal Price-mlNMENDGqtk.mp4 1.5 MB
- Part 17-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.mp4 1.5 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/33. Probability of Obtaining Mean-wQ3iwH9b10w.mp4 1.5 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/31. Good Job!-ZZoeeLpWcmU.mp4 1.5 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/35. Why Is Naive Bayes Naive-Bw6sYY84cYg.mp4 1.5 MB
- Part 03-Module 01-Lesson 11_L4 Variability/24. Formula for Avg. Abs. Dev.-_c780DW5Wuw.mp4 1.5 MB
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- Part 03-Module 01-Lesson 11_L4 Variability/38. Bessel's Correction-fghrG_GXWhw.mp4 1.5 MB
- Part 16-Module 02-Lesson 02_Data Analysis Process - Case Study 1/01. Lesson Overview-DkjRzNwjSfo.mp4 1.5 MB
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- Part 11-Module 01-Lesson 02_Naive Bayes/22. Unpacking NB Using Bayes Rule-lGREq530kfU.mp4 1.5 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/02. Mean of Treated Population-jC4--44m3-I.mp4 1.5 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-0PFq8zoaNWU.mp4 1.5 MB
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- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/23. Pooled Variance Sum of Squares-c0lWwW1Z9Ac.mp4 1.5 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/30. Sampling Distribution Shape-UMEckGyua6o.mp4 1.5 MB
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- Part 17-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.mp4 1.5 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.mp4 1.5 MB
- Part 17-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.mp4 1.5 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.mp4 1.5 MB
- Part 09-Module 01-Lesson 07_Explore Many Variables/13. Friending Rate-ZO7y9tsSQ0A.mp4 1.5 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/11. Count All the Species-vfEi3aOawTI.mp4 1.5 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/06. Meal Price SEM-4FAowd-l1p4.mp4 1.5 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/21. Clean Code 1 Solution -Noykh9Zt6aI.mp4 1.5 MB
- Part 03-Module 01-Lesson 11_L4 Variability/06. Mark Z the Outlier-_UyoOnmH1X8.mp4 1.5 MB
- Part 13-Module 01-Lesson 05_Dimple.js/27. Bar Chart The Bad-FCapLzYUQSo.mp4 1.5 MB
- Part 19-Module 01-Lesson 01_Introduction to Data Visualization/05. Data Types Review-xzZZZCZk5YM.mp4 1.5 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/02. Talk to the Zoo Database-9AVeGkUcPYQ.mp4 1.5 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/06. Proportion Between 180 and 200-Ss00WF8qXHk.mp4 1.5 MB
- Part 03-Module 01-Lesson 20_L8 Estimation/03. Population Mean vs. Sample Mean-dsje3j3gn_s.mp4 1.5 MB
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- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/21. Shoes - Calculate CI-S8sB8ph_bQM.mp4 1.5 MB
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- Part 17-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.mp4 1.4 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/19. Lessons Completed in First Week -kL0HS6KWRcw.mp4 1.4 MB
- Part 01-Module 01-Lesson 01_Nanodegree Orientation/img/set-up-reminder.gif 1.4 MB
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- Part 03-Module 01-Lesson 13_L5 Standardizing/20. SD of Standardized Distribution-0JZyJ5_T858.mp4 1.4 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/16. Pandas Series apply()-lhcl1UjM_0Q.mp4 1.4 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/17. Pandas Series apply()-lhcl1UjM_0Q.mp4 1.4 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/18. Shoes - t-Statistic-kJxLPlQC-lQ.mp4 1.4 MB
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- Part 13-Module 01-Lesson 05_Dimple.js/19. Adding the Series and Drawing the Chart-2zcZXJzW0aw.mp4 1.4 MB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/07. Design Code Tell-b1V_L3qFIUk.mp4 1.4 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/07. Sampling Distribution-kQevFvu_dL0.mp4 1.4 MB
- Part 11-Module 01-Lesson 03_SVM/06. SVMs and Tricky Data Distributions-wbCq7wm81BU.mp4 1.4 MB
- Part 17-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.mp4 1.4 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/25. Results of Hypothesis Test--Ecdsb39FnM.mp4 1.4 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/12. Two-Tailed Probability-KwbK0InYgvE.mp4 1.4 MB
- Part 16-Module 03-Lesson 06_[Advanced] SQL Window Functions/20. Percentiles-Qro8uvysnys.mp4 1.4 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/17. Plotting in Pandas-ujJShz9YfAU.mp4 1.4 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/18. Plotting in Pandas-ujJShz9YfAU.mp4 1.4 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/16. Smaller Bin-U74HWk-E_jg.mp4 1.4 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/05. Probability Less-1PkuYCWwc_g.mp4 1.4 MB
- Part 13-Module 01-Lesson 04_Design Principles/49. Advantages of the Grammar of Graphics-l7P-e1M_qPA.mp4 1.4 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/25. NEW Create a Radius Scale-fdylxSVOsnw.mp4 1.4 MB
- Part 11-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-Xrl2Hd--NWs.mp4 1.4 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/42. Adding Interactivity-Z5nOpgKYYj4.mp4 1.4 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/13. Price vs. Carat and Clarity-g88Q5qyiZxE.mp4 1.4 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/14. Clarity and Price-UnkrtPPx9-c.mp4 1.4 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/02. Everyday Meaning-XDfqzA6nkqk.mp4 1.4 MB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/15. Finches-Y6qz1XqyO9w.mp4 1.4 MB
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- Part 11-Module 01-Lesson 11_Text Learning/01. Dimensions when Learning From Text-Njbmexuo7fo.mp4 1.4 MB
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- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/02. Everyday Meaning-DKxww0fCCAA.mp4 1.4 MB
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- Part 05-Module 02-Lesson 01_Data and Tables/05. Data Meanings--laXTx9corQ.mp4 1.4 MB
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- Part 03-Module 01-Lesson 20_L8 Estimation/21. Point Estimate Engagement Ratio-R2a1wC3k0JM.mp4 1.4 MB
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- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/21. True or Not-Ftk7_ipeZH8.mp4 1.3 MB
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- Part 03-Module 01-Lesson 04_L2 Visualizing Data/12. Bin Size-dSgIDN1gz5k.mp4 1.3 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/47. Start Creating-Nr1w-Hxjld4.mp4 1.3 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/16. Cut and Price-MZyle39D5Ks.mp4 1.3 MB
- Part 13-Module 01-Lesson 05_Dimple.js/15. The Benefits of Dimple-PkCeV9KNiMg.mp4 1.3 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/05. Probability Less-wDRJK3htUZE.mp4 1.3 MB
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- Part 16-Module 03-Lesson 03_SQL Aggregations/16. GROUP BY Part II-0HQ-TshNNQA.mp4 1.3 MB
- Part 11-Module 01-Lesson 13_PCA/02. Trickier Data Dimensionality-s24-ikl3ZAs.mp4 1.3 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/37. Probability of Mean-dB5wr3taV7Y.mp4 1.3 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-QWWq77k-K_0.mp4 1.3 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-QWWq77k-K_0.mp4 1.3 MB
- Part 11-Module 01-Lesson 07_Regressions/02. Continuous Quiz-Bp6oBbLw8qE.mp4 1.3 MB
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- Part 16-Module 03-Lesson 03_SQL Aggregations/04. COUNT-b4FCWAEGmLg.mp4 1.3 MB
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- Part 05-Module 02-Lesson 05_Deeper into SQL/07. Primary Keys-P1NzBPnfl2E.mp4 1.3 MB
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- Part 17-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.mp4 1.3 MB
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- Part 16-Module 03-Lesson 02_SQL Joins/10. ALIAS-viWHJaxWTvw.mp4 1.2 MB
- Part 16-Module 03-Lesson 01_Basic SQL/07. How Databases Store Data-H0C9z_sRvLE.mp4 1.2 MB
- Part 18-Module 02-Lesson 01_Gathering Data/22. How Databases Store Data-H0C9z_sRvLE.mp4 1.2 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/07. Compute r^2-ZEkbLbmfHvg.mp4 1.2 MB
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- Part 05-Module 02-Lesson 05_Deeper into SQL/06. CREATE and DROP databases-3kycKkbQK6A.mp4 1.2 MB
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- Part 05-Module 02-Lesson 01_Data and Tables/04. Data Types and Meaning-Bb2K_pql26Y.mp4 1.2 MB
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- Part 05-Module 02-Lesson 05_Deeper into SQL/17. One Query, Not Two-n7v-y8UrVJ0.mp4 1.2 MB
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- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/36. Location of Mean-p3e965clFyU.mp4 1.2 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/15. More JOIN Practice-bnwLadF8gKo.mp4 1.2 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/26. P-Value-5pnYBObhGJk.mp4 1.2 MB
- Part 17-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.mp4 1.2 MB
- Part 11-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-GD9Bpjm31co.mp4 1.2 MB
- Part 11-Module 01-Lesson 07_Regressions/06. Phone Number Continuous or Discrete-5dt0N4XN-y4.mp4 1.2 MB
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- Part 17-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.mp4 1.2 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.mp4 1.2 MB
- Part 03-Module 01-Lesson 11_L4 Variability/22. Absolute Deviations-pFyPTDVN41Q.mp4 1.2 MB
- Part 07-Module 01-Lesson 01_GitHub Review/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 08-Module 01-Lesson 01_Conduct a Job Search/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 08-Module 03-Lesson 01_Craft Your Cover Letter/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 10-Module 01-Lesson 01_Develop Your Personal Brand/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 10-Module 01-Lesson 02_LinkedIn Review/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 10-Module 01-Lesson 03_Udacity Professional Profile/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 12-Module 01-Lesson 05_Interview Practice/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 12-Module 02-Lesson 08_Technical Interview - Python/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/04. 02 Joining Tables-vSjKBMgW1Fw.mp4 1.2 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/16. Aggregating Data-aW9OOZKfqR8.mp4 1.2 MB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/09. Combining Data-7KICenO-lKc.mp4 1.2 MB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/img/760018543.gif 1.2 MB
- Part 11-Module 01-Lesson 10_Feature Scaling/01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.mp4 1.2 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/10. Gettysburg or Wilma-VMkt5knD4VU.mp4 1.2 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/20. Degrees of Freedom-GOwsOqdMY8w.mp4 1.2 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/05. Range of Proportions--xSSuPcrrA8.mp4 1.2 MB
- Part 03-Module 01-Lesson 13_L5 Standardizing/23. Convert to Z-Score-tBlCLuL2tFc.mp4 1.2 MB
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- Part 11-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-hqO8kxRJdd4.mp4 1.2 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.mp4 1.2 MB
- Part 11-Module 01-Lesson 11_Text Learning/02. Bag Of Words-QfIgUDXPhi8.mp4 1.2 MB
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- Part 17-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-FwaYsmnlLM4.mp4 1.2 MB
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- Part 02-Module 01-Lesson 01_Intro to Research Methods/35. Draw Conclusions-yeHOhz4ZF1c.mp4 1.2 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/35. Draw Conclusions-yeHOhz4ZF1c.mp4 1.2 MB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/09. NumPy Index Arrays-93y6ms_fuQQ.mp4 1.2 MB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/10. NumPy Index Arrays-93y6ms_fuQQ.mp4 1.2 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/16. Cut and Price--P5lMGuVA6U.mp4 1.2 MB
- Part 11-Module 01-Lesson 07_Regressions/15. Adding An Intercept-xPDk70gKkjk.mp4 1.2 MB
- Part 16-Module 03-Lesson 05_SQL Data Cleaning/08. CONCAT-bCxZnQN28Y4.mp4 1.2 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/25. Corrected Standard Error-ksf2wklgpZ8.mp4 1.2 MB
- Part 13-Module 01-Lesson 07_Narrative Structures/52. D3 Hides Complexity-iNXkYbkD3IU.mp4 1.2 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/06. Comparison Operators-N5T8ouw1SGc.mp4 1.2 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/25. Prior and Posterior-45_uUhPcz38.mp4 1.2 MB
- Part 13-Module 01-Lesson 08_Animation and Interaction/27. The Update Function-z5f-oK0jwZk.mp4 1.2 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/09. Report CI Results-pr-2ZaCDzPY.mp4 1.2 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/18. More than 20-W0R3XOK1IfE.mp4 1.1 MB
- Part 11-Module 01-Lesson 07_Regressions/12. Slope Quiz-wnIQ6fCVD40.mp4 1.1 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/24. Rent - t-Statistic-HruTS4wHpVQ.mp4 1.1 MB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/11. Data Wrangling And EDA-EQXfxbUup0o.mp4 1.1 MB
- Part 08-Module 01-Lesson 01_Conduct a Job Search/04. Open Yourself Up to Opportunity-1OamTNkk1xM.mp4 1.1 MB
- Part 11-Module 01-Lesson 09_Clustering/09. K-Means Cluster Visualization-ZMfwPUrOFsE.mp4 1.1 MB
- Part 13-Module 01-Lesson 05_Dimple.js/22. Interactivity is Simple with Dimple-31yCnTUNzts.mp4 1.1 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/17. Price vs Carat and Color-ow70HVqX4OY.mp4 1.1 MB
- Part 11-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split--3VPMBIwTtE.mp4 1.1 MB
- Part 05-Module 02-Lesson 03_Elements of SQL/02. Talk to the Zoo Database-yLeLxDyXCSY.mp4 1.1 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/24. Noise in Conditional Means-GKXB5Qjlxo0.mp4 1.1 MB
- Part 17-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.mp4 1.1 MB
- Part 11-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-TpVxnYcI_uw.mp4 1.1 MB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/14. Dependent Variable-QyKOEh0722A.mp4 1.1 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/12. Gather Import Solution-QnTPEAGXJaE.mp4 1.1 MB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/06. Sum Relative Frequencies-RF_DpOg--PY.mp4 1.1 MB
- Part 11-Module 01-Lesson 02_Naive Bayes/14. A Good Linear Decision Surface-sudTOiG-NJo.mp4 1.1 MB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.mp4 1.1 MB
- Part 16-Module 03-Lesson 03_SQL Aggregations/19. DISTINCT-YDJEHkgKORY.mp4 1.1 MB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/28. Placebo-IJZs7KARtFo.mp4 1.1 MB
- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/28. Placebo-IJZs7KARtFo.mp4 1.1 MB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/14. -E-Bd6EEl20s.mp4 1.1 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/11. Missing Engagement Records-TluBvgsphHQ.mp4 1.1 MB
- Part 11-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split-A7KKnDmZBA0.mp4 1.1 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.mp4 1.1 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/21. Shape of Distribution When n Increases-YT3sdKcl3Vg.mp4 1.1 MB
- Part 01-Module 01-Lesson 01_Nanodegree Orientation/02. Introduction-fxNSn63xFvA.mp4 1.1 MB
- Part 09-Module 01-Lesson 03_Explore One Variable/14. Adjusting the Bin Width-VyYQPDw7w3Y.mp4 1.1 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/25. Rent - Decision-edm9jPvzeAc.mp4 1.1 MB
- Part 13-Module 01-Lesson 04_Design Principles/18. Thinking Fast-eSZ1kr_yZFg.mp4 1.1 MB
- Part 09-Module 01-Lesson 01_What is EDA/06. The Growth of Televisions-r5qca6q4Fn4.mp4 1.1 MB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/08. Probability Mean or = 3-twcNden__9M.mp4 1.1 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/07. Mode - Uniform Distribution-mFm0FfWHlXw.mp4 1.1 MB
- Part 09-Module 01-Lesson 05_Explore Two Variables/13. Correlation on Subsets-BbBaLbDoPBY.mp4 1.1 MB
- Part 17-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.mp4 1.1 MB
- Part 11-Module 01-Lesson 09_Clustering/07. Match Points (again)-9J3IwQFXveI.mp4 1.1 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.mp4 1.1 MB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/25. Communicating Results-tmAlVZCbgFA.mp4 1.1 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/15. Price vs Carat and Cut-RF9V7l00a28.mp4 1.1 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-obhHCeHpysw.mp4 1.1 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-obhHCeHpysw.mp4 1.1 MB
- Part 13-Module 01-Lesson 04_Design Principles/53. Grammar of Graphics Pipeline and D3-eVAEO2QRdM0.mp4 1.1 MB
- Part 13-Module 01-Lesson 05_Dimple.js/18. Adding the Y-axis-22JU1uui9y4.mp4 1.1 MB
- Part 11-Module 01-Lesson 13_PCA/03. One-Dimensional, or Two-QsncWsyboFk.mp4 1.0 MB
- Part 04-Module 02-Lesson 01_Data Analysis Process/12. Checking for More Problem Records-Hv58aHpWvEE.mp4 1.0 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/14. Two-Tailed Critical Values 0.001-sqOOrXKazFw.mp4 1.0 MB
- Part 11-Module 01-Lesson 10_Feature Scaling/03. Height + Weight for Cameron--dT9dztM-Lc.mp4 1.0 MB
- Part 17-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.mp4 1.0 MB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/04. Price and Carat Relationship-gG4xwgj1yVA.mp4 1.0 MB
- Part 13-Module 01-Lesson 04_Design Principles/17. Pre-attentive Processing-ZmDbDYoRxwQ.mp4 1.0 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/20. False Positives in Eigenfaces-CMIM_Ocu8vg.mp4 1.0 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-CMIM_Ocu8vg.mp4 1.0 MB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/17. Less than 5-CHHhDWRG49A.mp4 1.0 MB
- Part 03-Module 01-Lesson 11_L4 Variability/19. Average Deviation-4e4jMjA9pVk.mp4 1.0 MB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/27. Reject or Fail to Reject-Nl5RzE-RQHA.mp4 1.0 MB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/img/screenshot-2018-01-15-17.36.32.png 1.0 MB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-XN1eS7boCNg.mp4 1.0 MB
- Part 17-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-XN1eS7boCNg.mp4 1.0 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.mp4 1.0 MB
- Part 05-Module 02-Lesson 05_Deeper into SQL/18. VIEWs-omL8MVZjLts.mp4 1.0 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/04. Mode of Dataset-HvOjcTFlVTI.mp4 1.0 MB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/08. Calculate t-Statistic-aBdP9_JBhAs.mp4 1.0 MB
- Part 03-Module 01-Lesson 11_L4 Variability/23. Average Absolute Deviation--S35dQNbjhc.mp4 1.0 MB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/16. Mean with Outlier-RaXs536nNkg.mp4 1.0 MB
- Part 17-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.mp4 1.0 MB
- Part 13-Module 01-Lesson 04_Design Principles/10. Chart Types-KEdbHg_utV0.mp4 1.0 MB
- Part 11-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-M2Sp-Y2a71c.mp4 1.0 MB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/21. Visualize P-Value-Za4LLPiE7pI.mp4 1022.3 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-lJlS-Xdlu5o.mp4 1021.9 KB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/28. Klout Sampling Distribution (Mean)-_yD3iz4bFhc.mp4 1019.5 KB
- Part 09-Module 01-Lesson 05_Explore Two Variables/07. Alpha and Jitter-0OkHWvkwCus.mp4 1016.0 KB
- Part 17-Module 01-Lesson 05_Binomial Distribution/img/48713571.gif 1011.6 KB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/18. Color and Price--9CHGW25yMg.mp4 1010.8 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/06. Types of Data Quiz 2-T7rdBFQQ0Fw.mp4 1009.8 KB
- Part 11-Module 01-Lesson 04_Decision Trees/20. Entropy Calculation Part 5-ZSkYbBsFuOQ.mp4 996.8 KB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/15. Treatment-Q8hPJD_wXFY.mp4 995.3 KB
- Part 13-Module 01-Lesson 08_Animation and Interaction/21. Sizing Circles for Attendance-5cs9badCyPQ.mp4 992.9 KB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/06. Multiplying by a Scalar-jP1KfLaTtpU.mp4 992.6 KB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/07. Multiplying by a Scalar-jP1KfLaTtpU.mp4 992.6 KB
- Part 11-Module 01-Lesson 09_Clustering/14. Limitations of K-Means-nvLhUSSUhiY.mp4 991.7 KB
- Part 13-Module 01-Lesson 05_Dimple.js/28. Changing the Chart Type-wsjvZQaKIgA.mp4 991.7 KB
- Part 17-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.mp4 990.9 KB
- Part 16-Module 02-Lesson 03_Data Analysis Process - Case Study 2/img/inner-outer.png 989.1 KB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/img/oblstsm-imgur.gif 988.1 KB
- Part 13-Module 01-Lesson 05_Dimple.js/21. Two Identical Charts-maL-S68XvTc.mp4 987.4 KB
- Part 11-Module 01-Lesson 07_Regressions/16. Handoff to Katie-M3Nwl_B_bZ8.mp4 985.4 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.mp4 978.7 KB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/08. Gather Download II-T4iFJoHb_qU.mp4 975.7 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/09. Types of Data Quiz 5-bRhdim9PTFI.mp4 975.6 KB
- Part 16-Module 03-Lesson 03_SQL Aggregations/10. AVG-diqCDztOL64.mp4 975.4 KB
- Part 13-Module 01-Lesson 08_Animation and Interaction/43. Delaying the Display of Buttons-fpPPozvkpWM.mp4 975.2 KB
- Part 04-Module 02-Lesson 01_Data Analysis Process/15. Getting Data from First Week -adqc5fF5B8Y.mp4 974.1 KB
- Part 03-Module 01-Lesson 11_L4 Variability/05. Does Range Change-SLl0i0SKwHU.mp4 973.3 KB
- Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/img/d3-instructors.png 970.5 KB
- Part 16-Module 02-Lesson 03_Data Analysis Process - Case Study 2/img/left-right.png 964.4 KB
- Part 11-Module 01-Lesson 03_SVM/17. Separating with the New Feature-9KAHkienFWk.mp4 960.3 KB
- Part 03-Module 01-Lesson 13_L5 Standardizing/05. Proportion Between 170 and 210-pX6RbiR-4PM.mp4 956.6 KB
- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/17. Measures of Center - The Mode-NE81NZgECqg.mp4 954.6 KB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/24. Calculate Pooled Variance-evwkqnO9BHY.mp4 953.7 KB
- Part 05-Module 02-Lesson 05_Deeper into SQL/15. Inserts in DB API-RfYFqGPxMQM.mp4 953.2 KB
- Part 13-Module 01-Lesson 08_Animation and Interaction/43. Delaying the Display of Buttons-783QmxtIx58.mp4 949.3 KB
- Part 04-Module 02-Lesson 01_Data Analysis Process/img/5389263527.gif 942.8 KB
- Part 13-Module 01-Lesson 08_Animation and Interaction/20. Adding Circles to the Map-y_Hp6nNKxdM.mp4 938.0 KB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/25. Rent - Decision-s7JS53yUHN0.mp4 931.7 KB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/img/screen-shot-2017-12-07-at-3.48.20-pm.png 925.4 KB
- Part 17-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.mp4 920.8 KB
- Part 05-Module 02-Lesson 03_Elements of SQL/14. After Aggregating-kIITzFRh5mQ.mp4 919.5 KB
- Part 13-Module 01-Lesson 04_Design Principles/39. Junk Yard-2CT21UEcGQk.mp4 919.3 KB
- Part 16-Module 03-Lesson 03_SQL Aggregations/06. SUM-0zUP14PeiXk.mp4 918.8 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/19. True Positives in Eigenfaces-TWGqylKdGWs.mp4 918.4 KB
- Part 17-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-TWGqylKdGWs.mp4 918.4 KB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/25. NEW Create a Radius Scale-SUj-uKarNt0.mp4 915.7 KB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/22. Drawing Conclusions-Glctk6ahdFU.mp4 915.1 KB
- Part 13-Module 01-Lesson 08_Animation and Interaction/38. World Cup Participation Animation-2GN_nwKc_ZA.mp4 914.3 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/23. Analyzing Narrative Structures-xgm7DYBijo0.mp4 912.6 KB
- Part 03-Module 01-Lesson 11_L4 Variability/11. What Is an Outlier-GRLrzWwTz58.mp4 909.4 KB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/20. Find the Median-zQzgB8KovNU.mp4 904.0 KB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/14. Increase t--ypzhIBAuvg.mp4 903.5 KB
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- Part 11-Module 01-Lesson 04_Decision Trees/09. [object Object]-i7pRvuVoWg0.mp4 891.3 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-HWW9BNHnPo0.mp4 886.4 KB
- Part 17-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-HWW9BNHnPo0.mp4 886.4 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/22. Narratives Summary-QFXxRlLETyI.mp4 885.2 KB
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- Part 03-Module 01-Lesson 13_L5 Standardizing/07. More Detail-XUrP62LvciA.mp4 883.1 KB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/img/screen-shot-2017-11-07-at-2.17.08-pm.png 882.6 KB
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- Part 14-Module 01-Lesson 05_Analyzing Results/05. Checking Invariants-NixhPePGk-s.mp4 876.6 KB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/09. What We Need to Compare the Means-SAjAfP-Y9O8.mp4 873.9 KB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/05. Mode of Distribution-s9dHF4MMGx0.mp4 871.7 KB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/22. Continent Graph-RnUTCqsJD68.mp4 869.6 KB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.mp4 864.0 KB
- Part 16-Module 03-Lesson 02_SQL Joins/02. Why Not Store Everything in One Table-rvY4A6FpS40.mp4 863.3 KB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/17. Shoes - Standard Error-sYOGafbS30Q.mp4 860.3 KB
- Part 11-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-Thj7e55iSlA.mp4 853.6 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/33. Steps in the Data Binding Process-rHBJuhoajXE.mp4 846.6 KB
- Part 11-Module 01-Lesson 03_SVM/02. Separating Line-NTm_mA4akP4.mp4 842.6 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/54. Use Variables Wisely-j8o2WUo3-Xg.mp4 840.5 KB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/19. Exploring Data With Visuals-0i_9t4Wi0Og.mp4 836.3 KB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/21. Younger than 20-lNjXzIxTRmI.mp4 834.7 KB
- Part 09-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-k_mm11ePWpg.mp4 832.7 KB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/img/screen-shot-2017-11-07-at-2.18.27-pm.png 832.0 KB
- Part 17-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.mp4 831.8 KB
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- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION 2-so5zydnbYEg.mp4 825.6 KB
- Part 17-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.mp4 824.9 KB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/19. Finches - Decision-9cM-bc6aGTo.mp4 820.4 KB
- Part 03-Module 01-Lesson 20_L8 Estimation/30. Z-Scores of Sample Means-AM-d6qA5nnI.mp4 819.3 KB
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- Part 11-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-4YP0K-5c310.mp4 817.3 KB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/08. Problematic Line-X_5v9jxuLrQ.mp4 814.3 KB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/21. Median with Outlier-MFN6EMAzz_k.mp4 809.9 KB
- Part 05-Module 02-Lesson 01_Data and Tables/14. Primary Key-q23Nlo1Rfn4.mp4 805.5 KB
- Part 17-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.mp4 805.4 KB
- Part 11-Module 01-Lesson 09_Clustering/06. Moving Centers 2-uC1Xwc7warg.mp4 803.7 KB
- Part 17-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.mp4 803.7 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-SuGzxfoye9s.mp4 800.5 KB
- Part 03-Module 01-Lesson 13_L5 Standardizing/04. Relative Frequency Histogram-gPTaXk37UYY.mp4 798.6 KB
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- Part 17-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.mp4 797.8 KB
- Part 05-Module 02-Lesson 05_Deeper into SQL/10. Self JOINs-dHS0BtLFTSQ.mp4 794.3 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.mp4 792.7 KB
- Part 17-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.mp4 792.7 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/12. How Many Schroeders-T2dveKB64Ho.mp4 787.8 KB
- Part 17-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-T2dveKB64Ho.mp4 787.8 KB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/20. Percentage Under 60-SHAt1I_VNys.mp4 787.5 KB
- Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/img/726249228.gif 782.7 KB
- Part 11-Module 01-Lesson 09_Clustering/08. Handoff to Katie-knrPsGtpyQY.mp4 782.0 KB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/17. Find Bin Size-h9IP6OuMQrk.mp4 781.9 KB
- Part 11-Module 01-Lesson 03_SVM/05. Practice with Margins-l3zXhTxQiTs.mp4 780.8 KB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/20. Degrees of Freedom-58Mh3hOraqk.mp4 778.9 KB
- Part 11-Module 01-Lesson 04_Decision Trees/26. Information Gain Calculation Part 5-4oOXVejgFGk.mp4 776.8 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/18. Bush Precision and Recall-8fM13xqU2a8.mp4 775.0 KB
- Part 17-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-8fM13xqU2a8.mp4 775.0 KB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.mp4 771.8 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/05. Confusion Matrices-bEAaNv-CBQ4.mp4 770.6 KB
- Part 17-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bEAaNv-CBQ4.mp4 770.6 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3013458575.gif 766.4 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3017968763.gif 765.9 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-r8stm2et_hI.mp4 765.6 KB
- Part 17-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-r8stm2et_hI.mp4 765.6 KB
- Part 03-Module 01-Lesson 13_L5 Standardizing/04. Relative Frequency Histogram-1K7_1uPm8F8.mp4 762.8 KB
- Part 03-Module 01-Lesson 03_PS 1b Additional Practice (Optional)/img/202900216.gif 761.3 KB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/img/groups-used-in-map.png 759.2 KB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/img/groups-used-in-map.png 759.2 KB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/08. Convert to Percentage-DVr1RodIqBw.mp4 758.4 KB
- Part 09-Module 01-Lesson 03_Explore One Variable/19. User Ages-BmGqdHagFQk.mp4 757.5 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.mp4 754.5 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.mp4 753.1 KB
- Part 03-Module 01-Lesson 13_L5 Standardizing/03. Absolute or Relative-kQtW3r36-Lc.mp4 752.9 KB
- Part 17-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.mp4 751.9 KB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/20. Alternative Hypothesis-ferT-sqV3A0.mp4 748.7 KB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/28. Meaningful Results-yexyfs5ca2k.mp4 748.5 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.mp4 747.6 KB
- Part 17-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.mp4 747.2 KB
- Part 11-Module 01-Lesson 10_Feature Scaling/10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.mp4 745.3 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/05. Types of Data Quiz 1-j1vFBL3khh0.mp4 743.9 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3013038717.gif 741.7 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3029558686.gif 738.5 KB
- index.html 738.1 KB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/24. t-Statistic-KmEfiWATLUI.mp4 737.8 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3046518548.gif 737.0 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-vG3ahYyLHlQ.mp4 736.7 KB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/08. Gather Download Solution-SDqdLhgsBNc.mp4 735.2 KB
- Part 11-Module 01-Lesson 04_Decision Trees/07. Constructing A Decision TreeThird Split-RxySNoOmXnc.mp4 735.0 KB
- Part 11-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-j0uDMc3Yrlo.mp4 734.8 KB
- Part 09-Module 01-Lesson 02_R Basics/img/805108698.gif 732.7 KB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/14. Adding a DataFrame to a Series-IaM7ybOda8k.mp4 727.9 KB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/14. Adding a DataFrame to a Series-IaM7ybOda8k.mp4 727.9 KB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/09. One-Tailed t-Test-ycVGpvTfoso.mp4 727.7 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/15. Transition to Using Naive Bayes-2_dJXh1qqe0.mp4 726.6 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-2cUiqlbt-hc.mp4 720.5 KB
- Part 17-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-2cUiqlbt-hc.mp4 720.5 KB
- Part 17-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.mp4 719.4 KB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/08. Gather Download-a5o3ck1bxEs.mp4 715.3 KB
- Part 07-Module 01-Lesson 01_GitHub Review/img/6509638772.gif 711.1 KB
- Part 11-Module 01-Lesson 03_SVM/24. Overfitting-plx_F2BkwNQ.mp4 708.0 KB
- Part 11-Module 01-Lesson 13_PCA/08. Principal Axis of New Coordinate System-qPr3Uj55eog.mp4 702.5 KB
- Part 11-Module 01-Lesson 07_Regressions/14. Predictions Using Regression-T-dTpFd7EO0.mp4 701.3 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3007818802.gif 696.8 KB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/06. Sum Relative Frequencies-oxsmq36m5kQ.mp4 694.9 KB
- Part 16-Module 03-Lesson 03_SQL Aggregations/09. MIN MAX-1ewVsgWUih8.mp4 693.7 KB
- Part 11-Module 01-Lesson 07_Regressions/29. Problem with SSE-VD14oP-Ue6M.mp4 693.3 KB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/26. t-Statistic-KvaW3rL7u4k.mp4 692.9 KB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/24. t-Statistic-rWiQoVHAa0s.mp4 692.0 KB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/31. Margin of Error-22SXauLJVd4.mp4 691.8 KB
- Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/img/l1-worldcuptopscorers.png 688.8 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3000408954.gif 683.0 KB
- Part 03-Module 01-Lesson 11_L4 Variability/23. Average Absolute Deviation-MNJlXsuCuyo.mp4 682.5 KB
- Part 09-Module 01-Lesson 03_Explore One Variable/25. Likes on the Web-stpXFmv_XrA.mp4 682.4 KB
- Part 11-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-3RuKO3PQWg0.mp4 677.1 KB
- Part 11-Module 01-Lesson 07_Regressions/02. Continuous Quiz-IC-fo_A0PxQ.mp4 676.1 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3003048586.gif 675.8 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-tkllhaHoko8.mp4 675.1 KB
- Part 11-Module 01-Lesson 04_Decision Trees/12. Decision Tree Accuracy-1z5mVNdF1KA.mp4 672.3 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.mp4 672.3 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.mp4 672.0 KB
- Part 09-Module 01-Lesson 05_Explore Two Variables/img/866348580.gif 671.3 KB
- Part 11-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-jTKkq6DdJMw.mp4 668.7 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3028758556.gif 663.4 KB
- Part 17-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.mp4 663.4 KB
- Part 11-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-t4qaavAslSw.mp4 661.9 KB
- Part 03-Module 01-Lesson 13_L5 Standardizing/img/92993674.gif 661.2 KB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.mp4 661.1 KB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/img/calculated-field-rows.png 660.0 KB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/img/calculated-field-rows.png 660.0 KB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/22. SEM-Sv8q6DpXOA0.mp4 655.8 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.mp4 650.5 KB
- Part 11-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-3tzTP3e0Cjw.mp4 648.4 KB
- Part 09-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-8SqL0v_FSsc.mp4 643.9 KB
- Part 13-Module 01-Lesson 04_Design Principles/43. Calculating the Lie Factor-U3ZnXlDS5No.mp4 642.7 KB
- Part 18-Module 02-Lesson 01_Gathering Data/07. Flat Files in Python -cUmcLjWgxwM.mp4 642.4 KB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/30. Rent - Increase n-Z3Fl0WPJFoA.mp4 640.7 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-aALYYSwS7MM.mp4 640.1 KB
- Part 17-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.mp4 639.7 KB
- Part 03-Module 01-Lesson 20_L8 Estimation/31. Probability Sample Mean Is at Least...-0r9S6UNDRu8.mp4 635.0 KB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/img/calculated-aggregation.png 629.9 KB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/img/calculated-aggregation.png 629.9 KB
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- Part 11-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-bhwb2v9rEdI.mp4 627.6 KB
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- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/04. DF - Choose n Numbers-_Ns0gk4T7eo.mp4 621.2 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/29. Total Probability-AjI84ujXBHk.mp4 621.0 KB
- Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/img/calculated-aggregation-products.png 619.9 KB
- Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/img/calculated-aggregation-products.png 619.9 KB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/img/screen-shot-2017-12-07-at-9.43.05-am.png 618.1 KB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/img/screen-shot-2017-12-07-at-1.33.46-pm.png 618.0 KB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/06. Mode - Negatively Skewed Distribution-oNRtSJvtkJc.mp4 615.4 KB
- Part 17-Module 01-Lesson 15_Multiple Linear Regression/img/screen-shot-2017-12-07-at-3.56.39-pm.png 610.4 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3018068594.gif 610.3 KB
- Part 18-Module 03-Lesson 01_Assessing Data/13. Date Quality Dimensions 2 -aEGtqoWIJIc.mp4 610.2 KB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/24. Calculate Pooled Variance-jNfrnjMn7dU.mp4 606.0 KB
- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/img/154863478.gif 605.2 KB
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- Part 03-Module 01-Lesson 27_PS 10a t-Tests, Part 1/img/144643881.gif 603.9 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.mp4 603.3 KB
- Part 13-Module 01-Lesson 04_Design Principles/10. Chart Types-OVoEIInUg9A.mp4 602.6 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3050828611.gif 600.0 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/08. Speed Scatterplot Grade and Bumpiness-v2UbL0SOm9A.mp4 599.6 KB
- Part 11-Module 01-Lesson 04_Decision Trees/img/2952958620.gif 596.2 KB
- Part 04-Module 01-Lesson 01_Anaconda/media/conda_default_install.mp4 595.3 KB
- Part 16-Module 01-Lesson 01_Anaconda/media/conda_default_install.mp4 595.3 KB
- Part 11-Module 01-Lesson 03_SVM/img/2949888602.gif 593.4 KB
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- Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/img/154863506.gif 583.5 KB
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- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/28. Meaningful Results-7LoVF_V0qZ4.mp4 579.1 KB
- Part 13-Module 01-Lesson 05_Dimple.js/26. Bar Chart The Good-P46v39eNSqM.mp4 578.3 KB
- Part 11-Module 01-Lesson 13_PCA/10. Practice Finding Centers-FZVBF1HR4U0.mp4 578.0 KB
- Part 07-Module 01-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-AF07y1oAim0.mp4 569.3 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-Nn_8kCRYn2k.mp4 569.0 KB
- Part 17-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-Nn_8kCRYn2k.mp4 569.0 KB
- Part 13-Module 01-Lesson 05_Dimple.js/22. Interactivity is Simple with Dimple-_itWo-gUTzY.mp4 568.8 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/img/3037078563.gif 565.7 KB
- Part 11-Module 01-Lesson 06_Datasets and Questions/10. Types of Data Quiz 6--LtbhZvwwM8.mp4 559.1 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/12. How Many Schroeders-jO81hfubpXY.mp4 558.5 KB
- Part 17-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-jO81hfubpXY.mp4 558.5 KB
- Part 11-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-V0FNwMKhIVM.mp4 557.5 KB
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- Part 11-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-yWPbe8onCeA.mp4 555.0 KB
- Part 09-Module 01-Lesson 03_Explore One Variable/11. Friend Count-gydx9-h1liU.mp4 553.6 KB
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- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/18. Joining Subqueries-rxy-fE5GeLY.en.vtt 3.3 KB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/08. Calculating Correlation-yLql7kR_6GE.en.vtt 3.3 KB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/08. Calculating Correlation-yLql7kR_6GE.en.vtt 3.3 KB
- Part 12-Module 02-Lesson 05_Trees/15. Heaps-M3B0UJWS_ag.en-US.vtt 3.3 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-CNpSrdnYvbo.en.vtt 3.3 KB
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- Part 13-Module 01-Lesson 08_Animation and Interaction/31. Data Join with a Key Function-ue_TULswM1Y.en.vtt 3.2 KB
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- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/17. Assess Solution -lJEMTES2Ar8.ar.vtt 3.2 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/17. Getting Started With sklearn-olGPVtH7KGU.ar.vtt 3.2 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/48. Adding the Axes to the Page-B3qrRUamyUs.ar.vtt 3.2 KB
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- Part 04-Module 02-Lesson 01_Data Analysis Process/18. Debugging Data Analysis Code -l1pZZKsESAc.zh-CN.vtt 3.2 KB
- Part 14-Module 01-Lesson 04_Designing an Experiment/08. Unit of Analysis vs. Unit of Diversion-rzim0wu_0kM.pt-BR.vtt 3.2 KB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/14. Helpful Symbols-w4_8YCp-9fI.en.vtt 3.2 KB
- Part 03-Module 01-Lesson 20_L8 Estimation/23. CI Bounds-6MdZ5NUfen0.en.vtt 3.2 KB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/18. Combining Pandas DataFrames-vB_Et1hz_2M.ar.vtt 3.2 KB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/18. Combining Pandas DataFrames-vB_Et1hz_2M.ar.vtt 3.2 KB
- Part 18-Module 02-Lesson 01_Gathering Data/15. Source APIs (Application Programming Interfaces) 2-tobH58uO24U.zh-CN.vtt 3.2 KB
- Part 04-Module 01-Lesson 01_Anaconda/01. Why Anaconda-VXukXZv7SCQ.pt-BR.vtt 3.2 KB
- Part 13-Module 01-Lesson 05_Dimple.js/34. Summary of Dimple and Chart Types-OrdADko3k1Q.pt-BR.vtt 3.2 KB
- Part 16-Module 01-Lesson 01_Anaconda/01. Why Anaconda-VXukXZv7SCQ.pt-BR.vtt 3.2 KB
- Part 09-Module 01-Lesson 07_Explore Many Variables/03. Third Qualitative Variable-qXvnpC2UdVU.ar.vtt 3.2 KB
- Part 11-Module 01-Lesson 07_Regressions/23. Errors and Fit Quality-x-8-2zy8gmI.pt-BR.vtt 3.2 KB
- Part 14-Module 01-Lesson 04_Designing an Experiment/09. Unit of Analysis vs. Diversion Example-vuu3BY7X9ps.ar.vtt 3.2 KB
- Part 17-Module 01-Lesson 08_Python Probability Practice/04. Simulating Many Coin Flips-AqpWQIj2V5Y.en.vtt 3.2 KB
- Part 21-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.pt-BR.vtt 3.2 KB
- Part 13-Module 01-Lesson 04_Design Principles/07. Small Multiples-HS_dsOQfwz8.zh-CN.vtt 3.2 KB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/15. Filling Missing Values-l3ergsxocok.en.vtt 3.2 KB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/20. Absolute or Relative Difference-TNcT_v2g3OQ.pt-BR.vtt 3.2 KB
- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/16. Filling Missing Values-l3ergsxocok.en.vtt 3.2 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/31. Bayes Rule for Classification-wPI9WOfpZbM.en.vtt 3.2 KB
- Part 17-Module 01-Lesson 02_Descriptive Statistics - Part II/27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt 3.2 KB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt 3.2 KB
- Part 19-Module 01-Lesson 02_Design/03. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.zh-CN.vtt 3.2 KB
- Part 05-Module 02-Lesson 05_Deeper into SQL/09. Foreign Keys-fnbLMcd0FGQ.en.vtt 3.2 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/57. Styling Home Games with D3 Code-OzPNbN4L_L0.ar.vtt 3.2 KB
- Part 08-Module 03-Lesson 01_Craft Your Cover Letter/05. Writing the Body-aK9Qnv3a6Wg.es-MX.vtt 3.2 KB
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- Part 14-Module 01-Lesson 01_Overview of AB Testing/26. Confidence Interval Case Breakdown-6pGDwrJHitw.zh-CN.vtt 3.2 KB
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- Part 09-Module 01-Lesson 03_Explore One Variable/04. Histogram of Users' Birthdays-20aUUbuzALM.pt-BR.vtt 3.2 KB
- Part 11-Module 01-Lesson 09_Clustering/01. Unsupervised Learning-Mx9f99bRB3Q.en.vtt 3.2 KB
- Part 13-Module 01-Lesson 08_Animation and Interaction/12. Drawing and Altering the Map-soflPyVhb6o.pt-BR.vtt 3.2 KB
- Part 16-Module 02-Lesson 01_The Data Analysis Process/20. Plotting With Pandas-kR7KZFqciFE.en.vtt 3.2 KB
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- Part 11-Module 01-Lesson 04_Decision Trees/13. Data Impurity and Entropy-Bd15qhUrKCI.ar.vtt 3.2 KB
- Part 09-Module 01-Lesson 01_What is EDA/01. Data is Ubiquitous-YbVuN2KOlt4.zh-CN.vtt 3.2 KB
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- Part 09-Module 01-Lesson 07_Explore Many Variables/17. Introducing the Yogurt Dataset-5J9GxnJVo78.ar.vtt 3.2 KB
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- Part 16-Module 02-Lesson 02_Data Analysis Process - Case Study 1/16. Type And Quality Plot - Part 1-iRCS1sE78KI.pt-BR.vtt 3.2 KB
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- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/07. ggpairs Function-iJEBxsKDDoE.pt-BR.vtt 3.2 KB
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- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/18. Joining Subqueries-rxy-fE5GeLY.pt-BR.vtt 3.2 KB
- Part 14-Module 01-Lesson 04_Designing an Experiment/13. Population vs. Cohort-HC2dunMuVW4.pt-BR.vtt 3.2 KB
- Part 11-Module 01-Lesson 15_Evaluation Metrics/03. Shortcomings of Accuracy-9JfaMZcSlQA.zh-CN.vtt 3.2 KB
- Part 05-Module 01-Lesson 05_Data Quality/19. More About Correcting Data-vWBMgSQvsVk.en.vtt 3.2 KB
- Part 17-Module 01-Lesson 01_Descriptive Statistics - Part I/15. The Median-WlT3eeW0rb0.ar.vtt 3.2 KB
- Part 21-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.en.vtt 3.2 KB
- Part 21-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.pt-BR.vtt 3.2 KB
- Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/09. Reviewing our Street Name Audit-eIvm5rEMZGY.zh-CN.vtt 3.2 KB
- Part 18-Module 04-Lesson 01_Cleaning Data/11. Cleaning For Tidiness -6nMKFhpVCRU.en.vtt 3.2 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/19. Viewer-driven Examples-ft07qc8rTwM.en.vtt 3.2 KB
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- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/15. Performance Tuning 1-5mVfYZ_bfRo.pt-BR.vtt 3.2 KB
- Part 04-Module 02-Lesson 01_Data Analysis Process/10. Problems in the Data -Y288CGrwGy4.pt-BR.vtt 3.2 KB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/19. Plotting for DataFrames-CDVgPA0Mv2o.zh-CN.vtt 3.2 KB
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- Part 11-Module 01-Lesson 04_Decision Trees/08. Coding A Decision Tree-cxV6OAxCfIQ.en.vtt 2.2 KB
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- Part 11-Module 01-Lesson 09_Clustering/15. Counterintuitive Clusters-StmEUgT1XSY.en.vtt 2.2 KB
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- Part 12-Module 02-Lesson 05_Trees/20. Tree Rotations-O5Yl-m0YbVA.zh-CN.vtt 2.2 KB
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- Part 13-Module 01-Lesson 07_Narrative Structures/42. I Love Data Visualization-j24CoLV675I.zh-CN.vtt 2.2 KB
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- Part 17-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-b2zvrFL8AUw.en.vtt 2.1 KB
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- Part 14-Module 01-Lesson 01_Overview of AB Testing/19. Pooled Standard Error-iub8yWiO84I.en.vtt 2.1 KB
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- Part 13-Module 01-Lesson 07_Narrative Structures/48. Adding the Axes to the Page-B3qrRUamyUs.zh-CN.vtt 2.1 KB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/06. DF - Marginal Totals-PBcd_dxiFbE.pt-BR.vtt 2.1 KB
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- Part 13-Module 01-Lesson 02_D3 Building Blocks/14. -z-mXs7Rl-Ys.en-US.vtt 2.1 KB
- Part 13-Module 01-Lesson 08_Animation and Interaction/25. Sorting the Data for Drawing Order-X-zVfcuacD4.en.vtt 2.1 KB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/24. How Does Number of Page Views Vary-tfhsgVCX2Ao.en.vtt 2.1 KB
- Part 06-Module 01-Lesson 01_Working with MongoDB/01. Intro to MongoDB-GfK7GW3V-W0.en.vtt 2.1 KB
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- Part 04-Module 02-Lesson 01_Data Analysis Process/26. Predicting Based on Many Features-oZqGlJbRZu4.zh-CN.vtt 2.1 KB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.es-MX.vtt 2.1 KB
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- Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.es-MX.vtt 2.1 KB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/14. -z-mXs7Rl-Ys.en.vtt 2.1 KB
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- Part 04-Module 02-Lesson 01_Data Analysis Process/21. Splitting out Passing Students -Vf-EK6vg6Uc.en.vtt 2.1 KB
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- Part 17-Module 01-Lesson 09_Normal Distribution Theory/12. Normalizer-mQ_IjrtmmAk.pt-BR.vtt 2.1 KB
- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/32. What Happened-NSuT87J4V-g.en.vtt 2.1 KB
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- Part 18-Module 04-Lesson 01_Cleaning Data/01. Introduction -rkRn1Nh-6lg.pt-BR.vtt 2.1 KB
- Part 03-Module 01-Lesson 13_L5 Standardizing/01. Chess-XoQr2hohdvI.pt-BR.vtt 2.1 KB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/10. Continents-EtWewV65zbs.zh-CN.vtt 2.1 KB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/20. Win, Lose or Draw-ivBGyL3SzO0.zh-CN.vtt 2.1 KB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/15. Assess Solution --faitcQ7SKs.en.vtt 2.1 KB
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- Part 13-Module 01-Lesson 08_Animation and Interaction/21. Sizing Circles for Attendance-Fkm7ogOussQ.ar.vtt 2.1 KB
- Part 14-Module 01-Lesson 05_Analyzing Results/04. Choosing Invariants, Part 2-lWjaCJazJE0.pt-BR.vtt 2.1 KB
- Part 21-Module 01-Lesson 02_Data Types and Operators/27. L2 04 Tuples V3-33xN-AbTMoc.zh-CN.vtt 2.1 KB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/31. Dependent Samples-kcTh3hJ1XCw.en.vtt 2.1 KB
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- Part 05-Module 01-Lesson 03_Data in More Complex Formats/22. Scraping Solution-J1gn4ZBLkt4.zh-CN.vtt 2.1 KB
- Part 13-Module 01-Lesson 05_Dimple.js/02. World Cup Data-1Hd1Bq1YxXg.en.vtt 2.1 KB
- Part 11-Module 01-Lesson 03_SVM/25. SVM Strengths and Weaknesses-U9-ZsbaaGAs.en.vtt 2.1 KB
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- Part 13-Module 01-Lesson 04_Design Principles/08. Unemployment Line Plot-EbD9ufptNd0.ar.vtt 2.1 KB
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- Part 14-Module 01-Lesson 01_Overview of AB Testing/10. Estimating Click-Through-Probability-Hkbc_vcb7D8.zh-CN.vtt 2.1 KB
- Part 11-Module 01-Lesson 07_Regressions/29. Problem with SSE-S1yjJWWza7g.en.vtt 2.1 KB
- Part 03-Module 01-Lesson 08_L3 Central Tendency/23. Measures of Center-eNoE9hSDxPA.ar.vtt 2.1 KB
- Part 06-Module 01-Lesson 01_Working with MongoDB/12. Projection Queries-dFGlIC9nI1Q.zh-CN.vtt 2.1 KB
- Part 09-Module 01-Lesson 05_Explore Two Variables/05. Overplotting-DlDQLxYRB4w.pt-BR.vtt 2.1 KB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/34. From Source Code to Graphic-PIqgFTee-lk.zh-CN.vtt 2.1 KB
- Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/01. Introduction to Data Visualization-MUZXLvBI2sw.ar.vtt 2.1 KB
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- Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/08. Self JOINs-tw_VzEGBOvI.zh-CN.vtt 2.1 KB
- Part 03-Module 01-Lesson 20_L8 Estimation/01. Summary-51hx5u2EMZA.zh-CN.vtt 2.1 KB
- Part 09-Module 01-Lesson 07_Explore Many Variables/19. Number of Purchases-wZDgVcAW_es.zh-CN.vtt 2.1 KB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/12. Which Distribution-tTb1k27rhgI.pt-BR.vtt 2.1 KB
- Part 17-Module 01-Lesson 02_Descriptive Statistics - Part II/18. Data in the Real World-HmipezTjTDY.ar.vtt 2.1 KB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.zh-CN.vtt 2.1 KB
- Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.zh-CN.vtt 2.1 KB
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- Part 21-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.pt-BR.vtt 2.1 KB
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- Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/14. Influence Memory-N9VgCuxpb0I.pt-BR.vtt 2.1 KB
- Part 12-Module 01-Lesson 03_Interview Fails/02. Interviewing Fails Mike Wales-OGXRmzBglI4.es-MX.vtt 2.1 KB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/01. What is Data Visualization-mfLklbVU7r0.zh-CN.vtt 2.1 KB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/23. Keeping Trust and Drawing Circles-pBLeU5bbKak.zh-CN.vtt 2.1 KB
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- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/06. Choosing Metrics-mOH45PzylKk.zh-CN.vtt 2.0 KB
- Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/12. One-Sample t-Test-QyjjSIvJ_F4.en.vtt 2.0 KB
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- Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/01. Intro-vek87HVWexE.zh-CN.vtt 2.0 KB
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- Part 03-Module 01-Lesson 03_PS 1b Additional Practice (Optional)/18. 39. SAD-tya_avP-hKc.zh-CN.vtt 2.0 KB
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- Part 13-Module 01-Lesson 01_Visualization Fundamentals/04. The Functional Art Obesity and Education-UNqgFhKvCL4.ar.vtt 2.0 KB
- Part 21-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.en.vtt 2.0 KB
- Part 04-Module 02-Lesson 01_Data Analysis Process/13. Tracking Down the Remaining Problems-Xblj5rT9i0M.pt-BR.vtt 2.0 KB
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- Part 16-Module 03-Lesson 01_Basic SQL/43. AND BETWEEN Operators-nBuDPneWcKY.zh-CN.vtt 2.0 KB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/15. Summary-VP-PMcgqhc8.ar.vtt 2.0 KB
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- Part 13-Module 01-Lesson 07_Narrative Structures/51. Where are the Circles-hUmXWHOPxpI.ar.vtt 2.0 KB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/29. Decision Errors-4QMqg8izUac.pt-BR.vtt 2.0 KB
- Part 19-Module 01-Lesson 02_Design/06. What Experts Say About Visual Encodings-98aog0eVcC4.zh-CN.vtt 2.0 KB
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- Part 12-Module 01-Lesson 03_Interview Fails/02. Interviewing Fails Mike Wales-OGXRmzBglI4.en.vtt 2.0 KB
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- Part 05-Module 02-Lesson 05_Deeper into SQL/15. Inserts in DB API-pn3MunHovMc.pt-BR.vtt 2.0 KB
- Part 14-Module 01-Lesson 05_Analyzing Results/14. Multiple Metrics Example 2-m0E26ndQBNo.en.vtt 2.0 KB
- Part 19-Module 01-Lesson 01_Introduction to Data Visualization/04. Further Motivation-sjGxUKrbKoI.ar.vtt 2.0 KB
- Part 01-Module 01-Lesson 01_Nanodegree Orientation/11. How Do I Find Time for My Nanodegree Program-d-VfUw7wNEQ.pt-BR.vtt 2.0 KB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/32. What Happened-vD9iXeq3PKc.pt-BR.vtt 2.0 KB
- Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/06. Gather Intro-K5ITQn1L1R0.zh-CN.vtt 2.0 KB
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- Part 09-Module 01-Lesson 05_Explore Two Variables/16. Strong Correlations-9v9zh0O_0go.ja.vtt 2.0 KB
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- Part 21-Module 01-Lesson 05_Scripting/24. Techniques For Importing Modules Part II-aASigWQ_XU0.en.vtt 2.0 KB
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- Part 03-Module 01-Lesson 04_L2 Visualizing Data/15. Different Bin Sizes-_wOXWBZkL58.es.vtt 2.0 KB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/21. Best Practices for Scraping-97FYi0SQFQ8.ar.vtt 2.0 KB
- Part 03-Module 01-Lesson 16_L6 Normal Distribution/11. Z-Table-hSAxcGBxbds.en.vtt 2.0 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/45. Parsing Attendance-QReeBef_7vM.ar.vtt 2.0 KB
- Part 17-Module 01-Lesson 14_Regression/02. Introduction to Machine Learning-pLcFPPI1L-0.en.vtt 2.0 KB
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- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/13. DataFrame apply() Use Case 2-C6okqt-jf08.ar.vtt 2.0 KB
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- Part 13-Module 01-Lesson 02_D3 Building Blocks/17. -NXGcCf1KCt4.en-US.vtt 2.0 KB
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- Part 02-Module 01-Lesson 01_Intro to Research Methods/27. Downsides of Surveys-0ezYH2ppmT0.pt-BR.vtt 2.0 KB
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- Part 13-Module 01-Lesson 02_D3 Building Blocks/16. -_mge9UU-gpQ.en-US.vtt 2.0 KB
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- Part 03-Module 01-Lesson 20_L8 Estimation/10. 95 CI with Exact Z-Scores-apqUAtnsLZE.zh-CN.vtt 2.0 KB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/08. The Demand of Diamonds-h-YgETh80h4.pt-BR.vtt 2.0 KB
- Part 11-Module 01-Lesson 12_Feature Selection/02. A New Enron Feature-m2-LkgEfLO0.pt-BR.vtt 2.0 KB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/21. Rankings of Visual Encodings-ycsXqX7T80Y.en.vtt 2.0 KB
- Part 14-Module 01-Lesson 04_Designing an Experiment/07. Ethical Considerations Example-tGHQsk1SGGU.pt-BR.vtt 2.0 KB
- Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/08. Rankings of Visual Encodings - Data Visualization and D3.js-ycsXqX7T80Y.en.vtt 2.0 KB
- Part 05-Module 02-Lesson 03_Elements of SQL/05. SELECT WHERE-GUD6yl0A1Aw.ar.vtt 2.0 KB
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- Part 03-Module 01-Lesson 08_L3 Central Tendency/29. Formula for Location of Median-h3zyZHNyreM.en.vtt 2.0 KB
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- Part 01-Module 01-Lesson 01_Nanodegree Orientation/11. How Do I Find Time for My Nanodegree Program-d-VfUw7wNEQ.en-US.vtt 2.0 KB
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- Part 11-Module 01-Lesson 07_Regressions/36. Multi-Variate Regression Quiz 2-61sZUjEPzt0.zh-CN.vtt 2.0 KB
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- Part 18-Module 03-Lesson 01_Assessing Data/01. Introduction-4U3nFMf2KEs.pt-BR.vtt 2.0 KB
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- Part 06-Module 01-Lesson 01_Working with MongoDB/24. all Operator-B3iYl-2HSXI.ar.vtt 2.0 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/30. Thinking with Venn Diagrams-C1aHeMSeIdk.pt-BR.vtt 2.0 KB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/28. Probability of Obtaining Mean-ErwocwQVgYE.en.vtt 2.0 KB
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/41. Types of Designs-IcrYt7Tzccg.zh-CN.vtt 2.0 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/30. Bayes Rule Diagram-LIQrs3dviIs.en.vtt 2.0 KB
- Part 17-Module 01-Lesson 04_Probability/19. Probability Conclusion-dsVKoXymYDU.ar.vtt 2.0 KB
- Part 02-Module 01-Lesson 01_Intro to Research Methods/27. Downsides of Surveys-0ezYH2ppmT0.es.vtt 2.0 KB
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- Part 11-Module 01-Lesson 16_Tying It All Together/04. Outro-VCNcNnZ6V_s.zh-CN.vtt 2.0 KB
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- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/22. Variability Example-kTXI_wnTbVk.en.vtt 2.0 KB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/26. Interpret Histogram-9piyE5in7YE.es.vtt 2.0 KB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/01. Welcome!-KJT4Z0xpHns.ja.vtt 2.0 KB
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- Part 08-Module 03-Lesson 01_Craft Your Cover Letter/02. Purpose-7F7cMCTcyhM.en.vtt 2.0 KB
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- Part 05-Module 02-Lesson 05_Deeper into SQL/04. What's Normalized-T_LpzJl-EVE.ar.vtt 2.0 KB
- Part 17-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.zh-CN.vtt 2.0 KB
- Part 11-Module 01-Lesson 04_Decision Trees/33. Bias-Variance Dilemma-W5uUYnSHDhM.en-US.vtt 2.0 KB
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- Part 05-Module 02-Lesson 05_Deeper into SQL/10. Self JOINs-P1aYwQhPnPQ.ar.vtt 2.0 KB
- Part 11-Module 01-Lesson 04_Decision Trees/31. Information Gain Calculation Part 10-o75xNa_jwvg.pt-BR.vtt 2.0 KB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/03. Developer Tools and Console-C2Ob9vkpQ7g.zh-CN.vtt 2.0 KB
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- Part 09-Module 01-Lesson 03_Explore One Variable/28. Getting Logical-52o_ZtwFuXE.pt-BR.vtt 2.0 KB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/05. Resume Reflection-8Cj_tCp8mls.pt-BR.vtt 2.0 KB
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- Part 13-Module 01-Lesson 01_Visualization Fundamentals/17. Identifying Data Types-7lKhG9bIMhs.ar.vtt 2.0 KB
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- Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/18. Mean and SD-0XM5ILuCg1k.zh-CN.vtt 2.0 KB
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- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/10. DataFrame Vectorized Operations-xbtnAlV0ZSA.zh-CN.vtt 2.0 KB
- Part 12-Module 02-Lesson 05_Trees/02. Tree Basics-oaxLPzaXRDc.pt-BR.vtt 2.0 KB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/10. DataFrame Vectorized Operations-xbtnAlV0ZSA.zh-CN.vtt 2.0 KB
- Part 03-Module 01-Lesson 11_L4 Variability/16. Measure Variability-g_V6OCICUUc.zh-CN.vtt 2.0 KB
- Part 11-Module 01-Lesson 08_Outliers/01. Outliers in Regression-hxxa0KAkB1o.en.vtt 2.0 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/08. Bayes Rule Diagram-b8M9CWxRyQ4.ja.vtt 2.0 KB
- Part 17-Module 01-Lesson 06_Conditional Probability/10. Total Probability-YSYpzFR4k1I.es-ES.vtt 2.0 KB
- Part 13-Module 01-Lesson 08_Animation and Interaction/18. Averaging Locations-GLQJukg-0fQ.pt-BR.vtt 2.0 KB
- Part 14-Module 01-Lesson 04_Designing an Experiment/09. Unit of Analysis vs. Diversion Example-vuu3BY7X9ps.zh-CN.vtt 2.0 KB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/12. Plot Colors for Qualitative Factors-2ZVGl6LrOPw.ar.vtt 2.0 KB
- Part 13-Module 01-Lesson 01_Visualization Fundamentals/22. Decomposing Visualizations-iJ8t2FsPW4c.pt-BR.vtt 2.0 KB
- Part 13-Module 01-Lesson 05_Dimple.js/06. Dimple Bar Chart Code Overview-vuxN6EC_gso.pt-BR.vtt 2.0 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/30. Thinking with Venn Diagrams-C1aHeMSeIdk.en.vtt 2.0 KB
- Part 17-Module 01-Lesson 04_Probability/18. Doubles-fkUyTJNbdzU.ar.vtt 2.0 KB
- Part 17-Module 01-Lesson 12_Hypothesis Testing/24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.en.vtt 2.0 KB
- Part 04-Module 02-Lesson 01_Data Analysis Process/11. Missing Engagement Records-plnMY4iATyU.en.vtt 2.0 KB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/15. Roll 1 Die-oJXYNArEk8k.pt-BR.vtt 2.0 KB
- Part 12-Module 02-Lesson 06_Graphs/07. Adjacency Matrices-FsFhoTALA1c.zh-CN.vtt 2.0 KB
- Part 13-Module 01-Lesson 05_Dimple.js/02. World Cup Data-GtR3dw2eq2w.zh-CN.vtt 2.0 KB
- Part 08-Module 03-Lesson 01_Craft Your Cover Letter/02. Purpose-7F7cMCTcyhM.pt-BR.vtt 2.0 KB
- Part 08-Module 03-Lesson 01_Craft Your Cover Letter/02. Purpose-7F7cMCTcyhM.zh-CN.vtt 2.0 KB
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- Part 11-Module 01-Lesson 02_Naive Bayes/19. GaussianNB Deployment on Terrain Data-VBs6D4ggnYY.ar.vtt 2.0 KB
- Part 11-Module 01-Lesson 13_PCA/19. Advantages of Maximal Variance-jQaYAlZ1fp0.pt-BR.vtt 2.0 KB
- Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/18. Combining Pandas DataFrames-vB_Et1hz_2M.zh-CN.vtt 2.0 KB
- Part 08-Module 03-Lesson 01_Craft Your Cover Letter/07. Format-Xlqoq-SoJso.zh-CN.vtt 2.0 KB
- Part 13-Module 01-Lesson 02_D3 Building Blocks/35. Visualization and D3 Basics-ueKb1OghNEU.ar.vtt 2.0 KB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/04. High Level Metrics Customer Funnel-j5tA__Dq-sQ.pt-BR.vtt 2.0 KB
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-DjsL64Kjr1Q.pt-BR.vtt 2.0 KB
- Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/18. Combining Pandas DataFrames-vB_Et1hz_2M.zh-CN.vtt 2.0 KB
- Part 16-Module 03-Lesson 01_Basic SQL/09. Types Of Statements-vLvJbIz94C4.ar.vtt 2.0 KB
- Part 18-Module 02-Lesson 01_Gathering Data/22. Types Of Statements-vLvJbIz94C4.ar.vtt 2.0 KB
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- Part 04-Module 02-Lesson 01_Data Analysis Process/15. Getting Data from First Week -iT1vtUy2utg.ar.vtt 2.0 KB
- Part 11-Module 01-Lesson 13_PCA/21. Info Loss and Principal Components-LTPV8lxQeZQ.zh-CN.vtt 2.0 KB
- Part 03-Module 01-Lesson 20_L8 Estimation/19. Engagement Ratio-vpwCy5Gphrw.en-US.vtt 2.0 KB
- Part 04-Module 02-Lesson 01_Data Analysis Process/01. Introduction-0ydaJl3wCkU.pt-BR.vtt 2.0 KB
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- Part 05-Module 02-Lesson 05_Deeper into SQL/12. What's a DB-API-06LsRU4pmkA.pt-BR.vtt 2.0 KB
- Part 03-Module 01-Lesson 20_L8 Estimation/20. Hypothesis Testing Song-ER5AITzr77g.pt-BR.vtt 2.0 KB
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- Part 09-Module 01-Lesson 05_Explore Two Variables/16. Strong Correlations-9v9zh0O_0go.zh-CN.vtt 2.0 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/03. Supervised Classification Example-t18YC5rLyWg.en.vtt 2.0 KB
- Part 11-Module 01-Lesson 02_Naive Bayes/30. Bayes Rule Diagram-LIQrs3dviIs.pt-BR.vtt 2.0 KB
- Part 13-Module 01-Lesson 08_Animation and Interaction/20. Adding Circles to the Map-QJxhBCWK6BQ.en.vtt 2.0 KB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/27. Klout Parameters-wV-6gQepmn0.pt-BR.vtt 2.0 KB
- Part 03-Module 01-Lesson 20_L8 Estimation/23. CI Bounds-T9VX2KvzJ-k.pt-BR.vtt 2.0 KB
- Part 09-Module 01-Lesson 09_Diamonds Price Predictions/07. ggpairs Function-XUZIGbX3JIg.ja.vtt 2.0 KB
- Part 11-Module 01-Lesson 04_Decision Trees/13. Data Impurity and Entropy-Bd15qhUrKCI.zh-CN.vtt 2.0 KB
- Part 13-Module 01-Lesson 07_Narrative Structures/64. All World Cup Games Recap-tVtEEL5i_BE.zh-CN.vtt 2.0 KB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/27. Empirical Variability Bootstrapping-FvtAeWdzy4k.pt-BR.vtt 2.0 KB
- Part 05-Module 01-Lesson 03_Data in More Complex Formats/16. Beginning to Build Our http Requests-ojd7xXOd_64.en.vtt 2.0 KB
- Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/02. Gapminder Data-lbNk216NW48.ar.vtt 2.0 KB
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- Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/03. Gapminder Data-lbNk216NW48.ar.vtt 2.0 KB
- Part 03-Module 01-Lesson 04_L2 Visualizing Data/23. Difference Between Graphs-cgWAzXtglF0.zh-CN.vtt 2.0 KB
- Part 14-Module 01-Lesson 04_Designing an Experiment/06. Ethical Considerations for Diversion-Zf0XzYNsado.en.vtt 2.0 KB
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/38. Something Fun-7kOZs5PLtqs.en.vtt 2.0 KB
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- Part 16-Module 03-Lesson 01_Basic SQL/34. LIKE Operator-O5z6eWkNip4.en.vtt 2.0 KB
- Part 17-Module 01-Lesson 07_Bayes Rule/08. Bayes Rule Diagram-b8M9CWxRyQ4.es-ES.vtt 2.0 KB
- Part 13-Module 01-Lesson 08_Animation and Interaction/26. Where are we-d3jQdOuOy8k.zh-CN.vtt 2.0 KB
- Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/05. Resume Reflection-8Cj_tCp8mls.es-MX.vtt 1.9 KB
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- Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/05. Resume Reflection-8Cj_tCp8mls.es-MX.vtt 1.9 KB
- Part 14-Module 01-Lesson 01_Overview of AB Testing/25. Calculating Results-WkInrWZwbNA.zh-CN.vtt 1.9 KB
- Part 16-Module 03-Lesson 04_SQL Subqueries Temporary Tables/12. Common Table Expressions-qtEKO7B8bXQ.ar.vtt 1.9 KB
- Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/27. Empirical Variability Bootstrapping-FvtAeWdzy4k.en.vtt 1.9 KB
- Part 14-Module 01-Lesson 05_Analyzing Results/12. Multiple Metrics Introduction-dw0UylGwPe8.zh-CN.vtt 1.9 KB
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- Part 03-Module 01-Lesson 11_L4 Variability/11. What Is an Outlier-XP3F26GGuhE.zh-CN.vtt 512 bytes
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- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/30. Sampling Distribution Shape-UMEckGyua6o.en.vtt 250 bytes
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- Part 17-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.ar.vtt 122 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.pt-BR.vtt 122 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/29. Total Probability-FlbDcNPGgUE.pt-BR.vtt 121 bytes
- Part 11-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-kNxZwfXwvuk.ar.vtt 121 bytes
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- Part 17-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.es-ES.vtt 120 bytes
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/05. Mean of Each Sample-SAdBKdiDE6w.en.vtt 119 bytes
- Part 03-Module 01-Lesson 20_L8 Estimation/32. What Does This Mean-Hqk1_dUlmo4.es-AR.vtt 119 bytes
- Part 03-Module 01-Lesson 20_L8 Estimation/32. What Does This Mean-Hqk1_dUlmo4.es-ES.vtt 119 bytes
- Part 11-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-frzL4n6Y-vU.ja.vtt 119 bytes
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- Part 17-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.en.vtt 118 bytes
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- Part 17-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.ar.vtt 118 bytes
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- Part 17-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.ja.vtt 118 bytes
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- Part 17-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.zh-CN.vtt 117 bytes
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- Part 03-Module 01-Lesson 11_L4 Variability/23. Average Absolute Deviation--S35dQNbjhc.zh-CN.vtt 116 bytes
- Part 03-Module 01-Lesson 20_L8 Estimation/32. What Does This Mean-Hqk1_dUlmo4.en-GB.vtt 116 bytes
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- Part 17-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.zh-CN.vtt 116 bytes
- Part 03-Module 01-Lesson 20_L8 Estimation/32. What Does This Mean-Hqk1_dUlmo4.it.vtt 115 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.zh-CN.vtt 115 bytes
- Part 03-Module 01-Lesson 20_L8 Estimation/32. What Does This Mean-Hqk1_dUlmo4.en.vtt 113 bytes
- Part 11-Module 01-Lesson 13_PCA/10. Practice Finding Centers-FZVBF1HR4U0.zh-CN.vtt 113 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.zh-CN.vtt 113 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.ja.vtt 113 bytes
- Part 17-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.zh-CN.vtt 113 bytes
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/05. Mean of Each Sample-SAdBKdiDE6w.pt-BR.vtt 111 bytes
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- Part 17-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.zh-CN.vtt 111 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-L4elyDe8pFk.ar.vtt 110 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-L4elyDe8pFk.pt-BR.vtt 110 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.ar.vtt 110 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.ja.vtt 110 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.en.vtt 110 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.zh-CN.vtt 110 bytes
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/38. Keyboards - Cohen's d-9TgKqnlta2U.pt-BR.vtt 109 bytes
- Part 11-Module 01-Lesson 13_PCA/10. Practice Finding Centers-FZVBF1HR4U0.en.vtt 109 bytes
- Part 11-Module 01-Lesson 13_PCA/10. Practice Finding Centers-FZVBF1HR4U0.pt-BR.vtt 109 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.es-ES.vtt 109 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.es-ES.vtt 109 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.en.vtt 109 bytes
- Part 11-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-frzL4n6Y-vU.en.vtt 108 bytes
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- Part 17-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.ar.vtt 108 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.th.vtt 108 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.pt-BR.vtt 108 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.es-ES.vtt 108 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.pt-BR.vtt 108 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.zh-CN.vtt 108 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-L4elyDe8pFk.en.vtt 107 bytes
- Part 11-Module 01-Lesson 04_Decision Trees/26. Information Gain Calculation Part 5-4oOXVejgFGk.ja.vtt 107 bytes
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- Part 17-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.es-ES.vtt 107 bytes
- Part 03-Module 01-Lesson 08_L3 Central Tendency/19. Requirement for Median-T9tjPHqbB6M.pt-BR.vtt 106 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-rnaZpqIqA2g.ja.vtt 106 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.pt-BR.vtt 106 bytes
- Part 03-Module 01-Lesson 11_L4 Variability/31. Calculate SD-ZzEF7yc5208.en.vtt 105 bytes
- Part 11-Module 01-Lesson 10_Feature Scaling/04. Sarah's Height + Weight-p5p3OLARpmA.pt-BR.vtt 105 bytes
- Part 03-Module 01-Lesson 08_L3 Central Tendency/19. Requirement for Median-T9tjPHqbB6M.zh-CN.vtt 104 bytes
- Part 03-Module 01-Lesson 18_L7 Sampling Distributions/11. Relationship Between SDs-nG9l9ba7TrE.en.vtt 104 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-L4elyDe8pFk.ja.vtt 104 bytes
- Part 11-Module 01-Lesson 10_Feature Scaling/04. Sarah's Height + Weight-p5p3OLARpmA.en.vtt 104 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.es-ES.vtt 104 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.en.vtt 104 bytes
- Part 03-Module 01-Lesson 11_L4 Variability/31. Calculate SD-ZzEF7yc5208.zh-CN.vtt 103 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.en.vtt 103 bytes
- Part 03-Module 01-Lesson 08_L3 Central Tendency/19. Requirement for Median-T9tjPHqbB6M.en.vtt 101 bytes
- Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/38. Keyboards - Cohen's d-9TgKqnlta2U.en.vtt 101 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-rnaZpqIqA2g.zh-CN.vtt 101 bytes
- Part 11-Module 01-Lesson 04_Decision Trees/26. Information Gain Calculation Part 5-4oOXVejgFGk.en.vtt 101 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.pt-BR.vtt 101 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.zh-Hans.vtt 101 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.es-ES.vtt 101 bytes
- Part 03-Module 01-Lesson 11_L4 Variability/31. Calculate SD-ZzEF7yc5208.pt-BR.vtt 100 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.ja.vtt 100 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.pt-BR.vtt 100 bytes
- Part 11-Module 01-Lesson 04_Decision Trees/16. Entropy Calculation Part 1-JX3NN5zwL08.ar.vtt 99 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.ar.vtt 99 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.pt-BR.vtt 99 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.zh-CN.vtt 99 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.pt-BR.vtt 99 bytes
- Part 03-Module 01-Lesson 08_L3 Central Tendency/19. Requirement for Median-T9tjPHqbB6M.es.vtt 98 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.zh-Hans.vtt 98 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.ar.vtt 98 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.zh-CN.vtt 98 bytes
- Part 11-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-kNxZwfXwvuk.pt-BR.vtt 97 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.ja.vtt 97 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.en.vtt 97 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.it.vtt 96 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.ar.vtt 96 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.es-ES.vtt 95 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.es-ES.vtt 95 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.en.vtt 95 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.hr.vtt 95 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.ar.vtt 95 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.en.vtt 95 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.zh-CN.vtt 94 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.ar.vtt 94 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.it.vtt 94 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.ja.vtt 94 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.pt-BR.vtt 94 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-rnaZpqIqA2g.ar.vtt 93 bytes
- Part 11-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-kNxZwfXwvuk.en.vtt 92 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.ar.vtt 92 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.pt-BR.vtt 92 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.pt-BR.vtt 91 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.ja.vtt 91 bytes
- Part 11-Module 01-Lesson 04_Decision Trees/16. Entropy Calculation Part 1-JX3NN5zwL08.pt-BR.vtt 90 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.en.vtt 90 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.ar.vtt 90 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.zh-CN.vtt 90 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.en.vtt 90 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.it.vtt 90 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.zh-CN.vtt 90 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-L4elyDe8pFk.zh-CN.vtt 89 bytes
- Part 11-Module 01-Lesson 04_Decision Trees/16. Entropy Calculation Part 1-JX3NN5zwL08.ja.vtt 89 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.it.vtt 89 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.pt-PT.vtt 89 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.it.vtt 89 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.it.vtt 89 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.ja.vtt 89 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.pt-BR.vtt 89 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.pt-BR.vtt 89 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.en.vtt 89 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.en.vtt 88 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.it.vtt 88 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.ja.vtt 88 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.ja.vtt 88 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.hr.vtt 87 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.it.vtt 87 bytes
- Part 17-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.zh-CN.vtt 87 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-rnaZpqIqA2g.en.vtt 86 bytes
- Part 11-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-rnaZpqIqA2g.pt-BR.vtt 86 bytes
- Part 11-Module 01-Lesson 04_Decision Trees/16. Entropy Calculation Part 1-JX3NN5zwL08.en.vtt 86 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.en.vtt 86 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.hr.vtt 86 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.en.vtt 86 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.hr.vtt 85 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.zh-Hans.vtt 85 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.hr.vtt 85 bytes
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- Part 17-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.zh-CN.vtt 84 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.zh-CN.vtt 83 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.hr.vtt 83 bytes
- Part 17-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.tr.vtt 81 bytes
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