[TutorialPace.com] Lynda - Python Statistics Essential Training - [TP]
File List
- 2.2. Importing and Cleaning Data/11.Data cleaning.mp4 33.4 MB
- 3.3. Visualizing and Describing Data/21.Personal email analytics.mp4 29.0 MB
- 3.3. Visualizing and Describing Data/18.More quantitative variables.mp4 21.5 MB
- 3.3. Visualizing and Describing Data/14.The power of visualization.mp4 20.0 MB
- 4.4. Introduction to Statistical Inference/27.Hypothesis testing.mp4 19.5 MB
- 5.5. Introduction to Statistical Modeling/36.Bayesian inference.mp4 19.0 MB
- 2.2. Importing and Cleaning Data/10.Introducing pandas.mp4 18.9 MB
- 3.3. Visualizing and Describing Data/16.Plot distributions.mp4 18.8 MB
- 4.4. Introduction to Statistical Inference/25.Confidence intervals.mp4 17.2 MB
- 4.4. Introduction to Statistical Inference/26.Bootstrapping.mp4 17.1 MB
- 3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.mp4 16.7 MB
- 5.5. Introduction to Statistical Modeling/32.Fitting models to data.mp4 16.5 MB
- 5.5. Introduction to Statistical Modeling/33.Goodness of fit.mp4 14.0 MB
- 4.4. Introduction to Statistical Inference/28.p values and confidence intervals.mp4 13.4 MB
- 5.5. Introduction to Statistical Modeling/34.Cross validation.mp4 13.1 MB
- 3.3. Visualizing and Describing Data/19.Describe categorical variables.mp4 12.0 MB
- 3.3. Visualizing and Describing Data/20.Plot categorical variables.mp4 11.9 MB
- 2.2. Importing and Cleaning Data/09.Create tidy data tables.mp4 11.2 MB
- 5.5. Introduction to Statistical Modeling/35.Logistic regression.mp4 11.1 MB
- 1.1. Installation and Setup/05.Install Anaconda Python on Windows.mp4 10.3 MB
- 2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.mp4 10.0 MB
- 3.3. Visualizing and Describing Data/15.Describe distributions.mp4 9.1 MB
- 1.1. Installation and Setup/07.Using Python in the cloud.mp4 8.8 MB
- 1.1. Installation and Setup/04.Install Anaconda Python on OS X.mp4 8.1 MB
- 0.Introduction/01.Welcome.mp4 6.9 MB
- 1.1. Installation and Setup/06.Working with Jupyter Notebook.mp4 6.5 MB
- 3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.mp4 4.6 MB
- 4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.mp4 4.3 MB
- 5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.mp4 4.0 MB
- 2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.mp4 3.4 MB
- 2.2. Importing and Cleaning Data/08.The structure of data.mp4 3.1 MB
- 0.Introduction/03.Using the exercise files.mp4 3.0 MB
- 6.Conclusion/39.Next steps.mp4 2.9 MB
- 4.4. Introduction to Statistical Inference/24.Statistical inference.mp4 2.9 MB
- 5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.mp4 2.8 MB
- 5.5. Introduction to Statistical Modeling/31.Statistical modeling.mp4 2.4 MB
- 3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.mp4 1.3 MB
- 0.Introduction/02.What you need to know.mp4 1.2 MB
- 4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.mp4 1.1 MB
- 2.2. Importing and Cleaning Data/11.Data cleaning.en.srt 13.2 KB
- 4.4. Introduction to Statistical Inference/25.Confidence intervals.en.srt 11.7 KB
- 5.5. Introduction to Statistical Modeling/36.Bayesian inference.en.srt 11.1 KB
- 3.3. Visualizing and Describing Data/21.Personal email analytics.en.srt 10.6 KB
- 5.5. Introduction to Statistical Modeling/32.Fitting models to data.en.srt 9.8 KB
- 4.4. Introduction to Statistical Inference/27.Hypothesis testing.en.srt 9.1 KB
- 3.3. Visualizing and Describing Data/14.The power of visualization.en.srt 8.4 KB
- 2.2. Importing and Cleaning Data/10.Introducing pandas.en.srt 8.3 KB
- 3.3. Visualizing and Describing Data/16.Plot distributions.en.srt 8.1 KB
- 5.5. Introduction to Statistical Modeling/33.Goodness of fit.en.srt 8.0 KB
- 4.4. Introduction to Statistical Inference/26.Bootstrapping.en.srt 7.7 KB
- 5.5. Introduction to Statistical Modeling/35.Logistic regression.en.srt 7.4 KB
- 3.3. Visualizing and Describing Data/18.More quantitative variables.en.srt 7.3 KB
- 5.5. Introduction to Statistical Modeling/34.Cross validation.en.srt 7.1 KB
- 2.2. Importing and Cleaning Data/09.Create tidy data tables.en.srt 7.1 KB
- 3.3. Visualizing and Describing Data/15.Describe distributions.en.srt 6.9 KB
- 3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.en.srt 5.8 KB
- 4.4. Introduction to Statistical Inference/28.p values and confidence intervals.en.srt 5.8 KB
- 3.3. Visualizing and Describing Data/19.Describe categorical variables.en.srt 5.6 KB
- 1.1. Installation and Setup/04.Install Anaconda Python on OS X.en.srt 5.0 KB
- 3.3. Visualizing and Describing Data/20.Plot categorical variables.en.srt 4.3 KB
- 1.1. Installation and Setup/05.Install Anaconda Python on Windows.en.srt 4.2 KB
- 2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.en.srt 3.7 KB
- 1.1. Installation and Setup/06.Working with Jupyter Notebook.en.srt 3.6 KB
- 1.1. Installation and Setup/07.Using Python in the cloud.en.srt 3.3 KB
- 6.Conclusion/39.Next steps.en.srt 3.2 KB
- 2.2. Importing and Cleaning Data/08.The structure of data.en.srt 2.7 KB
- 5.5. Introduction to Statistical Modeling/31.Statistical modeling.en.srt 2.6 KB
- 4.4. Introduction to Statistical Inference/24.Statistical inference.en.srt 2.3 KB
- 0.Introduction/01.Welcome.en.srt 1.8 KB
- 3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.en.srt 1.6 KB
- 2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.en.srt 1.6 KB
- 4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.en.srt 1.6 KB
- 0.Introduction/02.What you need to know.en.srt 1.5 KB
- 0.Introduction/03.Using the exercise files.en.srt 1.4 KB
- 5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.en.srt 1.3 KB
- 5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.en.srt 1.2 KB
- 3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.en.srt 526 bytes
- 4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.en.srt 476 bytes
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