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2.2. Importing and Cleaning Data/11.Data cleaning.mp4 33.44 MB
3.3. Visualizing and Describing Data/21.Personal email analytics.mp4 28.99 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 20.03 MB
4.4. Introduction to Statistical Inference/27.Hypothesis testing.mp4 19.52 MB
5.5. Introduction to Statistical Modeling/36.Bayesian inference.mp4 19.04 MB
2.2. Importing and Cleaning Data/10.Introducing pandas.mp4 18.89 MB
3.3. Visualizing and Describing Data/16.Plot distributions.mp4 18.79 MB
4.4. Introduction to Statistical Inference/25.Confidence intervals.mp4 17.18 MB
4.4. Introduction to Statistical Inference/26.Bootstrapping.mp4 17.06 MB
3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.mp4 16.72 MB
5.5. Introduction to Statistical Modeling/32.Fitting models to data.mp4 16.49 MB
5.5. Introduction to Statistical Modeling/33.Goodness of fit.mp4 13.99 MB
4.4. Introduction to Statistical Inference/28.p values and confidence intervals.mp4 13.35 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 11.97 MB
3.3. Visualizing and Describing Data/20.Plot categorical variables.mp4 11.94 MB
2.2. Importing and Cleaning Data/09.Create tidy data tables.mp4 11.16 MB
5.5. Introduction to Statistical Modeling/35.Logistic regression.mp4 11.09 MB
1.1. Installation and Setup/05.Install Anaconda Python on Windows.mp4 10.32 MB
2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.mp4 10 MB
3.3. Visualizing and Describing Data/15.Describe distributions.mp4 9.07 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 6.91 MB
1.1. Installation and Setup/06.Working with Jupyter Notebook.mp4 6.53 MB
3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.mp4 4.63 MB
4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.mp4 4.29 MB
5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.mp4 4.02 MB
2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.mp4 3.39 MB
2.2. Importing and Cleaning Data/08.The structure of data.mp4 3.05 MB
0.Introduction/03.Using the exercise files.mp4 3 MB
6.Conclusion/39.Next steps.mp4 2.9 MB
4.4. Introduction to Statistical Inference/24.Statistical inference.mp4 2.88 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 2.39 MB
3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.mp4 1.33 MB
0.Introduction/02.What you need to know.mp4 1.23 MB
4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.mp4 1.12 MB
2.2. Importing and Cleaning Data/11.Data cleaning.en.srt 13.22 KB
4.4. Introduction to Statistical Inference/25.Confidence intervals.en.srt 11.68 KB
5.5. Introduction to Statistical Modeling/36.Bayesian inference.en.srt 11.13 KB
3.3. Visualizing and Describing Data/21.Personal email analytics.en.srt 10.57 KB
5.5. Introduction to Statistical Modeling/32.Fitting models to data.en.srt 9.77 KB
4.4. Introduction to Statistical Inference/27.Hypothesis testing.en.srt 9.06 KB
3.3. Visualizing and Describing Data/14.The power of visualization.en.srt 8.44 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 8.08 KB
5.5. Introduction to Statistical Modeling/33.Goodness of fit.en.srt 8 KB
4.4. Introduction to Statistical Inference/26.Bootstrapping.en.srt 7.66 KB
5.5. Introduction to Statistical Modeling/35.Logistic regression.en.srt 7.36 KB
3.3. Visualizing and Describing Data/18.More quantitative variables.en.srt 7.26 KB
5.5. Introduction to Statistical Modeling/34.Cross validation.en.srt 7.09 KB
2.2. Importing and Cleaning Data/09.Create tidy data tables.en.srt 7.07 KB
3.3. Visualizing and Describing Data/15.Describe distributions.en.srt 6.95 KB
3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.en.srt 5.84 KB
4.4. Introduction to Statistical Inference/28.p values and confidence intervals.en.srt 5.79 KB
3.3. Visualizing and Describing Data/19.Describe categorical variables.en.srt 5.63 KB
1.1. Installation and Setup/04.Install Anaconda Python on OS X.en.srt 5.02 KB
3.3. Visualizing and Describing Data/20.Plot categorical variables.en.srt 4.32 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 3.73 KB
1.1. Installation and Setup/06.Working with Jupyter Notebook.en.srt 3.55 KB
1.1. Installation and Setup/07.Using Python in the cloud.en.srt 3.32 KB
6.Conclusion/39.Next steps.en.srt 3.23 KB
2.2. Importing and Cleaning Data/08.The structure of data.en.srt 2.73 KB
5.5. Introduction to Statistical Modeling/31.Statistical modeling.en.srt 2.56 KB
4.4. Introduction to Statistical Inference/24.Statistical inference.en.srt 2.31 KB
0.Introduction/01.Welcome.en.srt 1.83 KB
3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.en.srt 1.63 KB
2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.en.srt 1.59 KB
4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.en.srt 1.57 KB
0.Introduction/02.What you need to know.en.srt 1.51 KB
0.Introduction/03.Using the exercise files.en.srt 1.36 KB
5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.en.srt 1.33 KB
5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.en.srt 1.18 KB
3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.en.srt 526 B
4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.en.srt 476 B
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