0.Introduction

  01.Welcome.mp4

  02.What you need to know.mp4

  03.Using the exercise files.mp4

 1.1. Installation and Setup

  04.Install Anaconda Python on OS X.mp4

  05.Install Anaconda Python on Windows.mp4

  06.Working with Jupyter Notebook.mp4

  07.Using Python in the cloud.mp4

 2.2. Importing and Cleaning Data

  08.The structure of data.mp4

  09.Create tidy data tables.mp4

  10.Introducing pandas.mp4

  11.Data cleaning.mp4

  12.✓ Challenge - Personal email analytics.mp4

  13.✓ Solution - Personal email analytics.mp4

 3.3. Visualizing and Describing Data

  14.The power of visualization.mp4

  15.Describe distributions.mp4

  16.Plot distributions.mp4

  17.Plots of two quantitative variables.mp4

  18.More quantitative variables.mp4

  19.Describe categorical variables.mp4

  20.Plot categorical variables.mp4

  21.Personal email analytics.mp4

  22.✓ Challenge - More email analytics.mp4

  23.✓ Solution - More email analytics.mp4

 4.4. Introduction to Statistical Inference

  24.Statistical inference.mp4

  25.Confidence intervals.mp4

  26.Bootstrapping.mp4

  27.Hypothesis testing.mp4

  28.p values and confidence intervals.mp4

  29.✓ Challenge - Bootstrapping grades.mp4

  30.✓ Solution - Bootstrapping grades.mp4

 5.5. Introduction to Statistical Modeling

  31.Statistical modeling.mp4

  32.Fitting models to data.mp4

  33.Goodness of fit.mp4

  34.Cross validation.mp4

  35.Logistic regression.mp4

  36.Bayesian inference.mp4

  37.✓ Challenge - Explaining baby weight at birth.mp4

  38.✓ Solution - Explaining baby weight at birth.mp4

 6.Conclusion

  39.Next steps.mp4