01: Course Overview

02: Version control with Git and GitHub

03: Clean Code

04: Working with Data

05: Web scraping

06: Web scraping via APIs

07: Data analysis I

08: Data analysis II - ggplot2

09: Data analysis III - Exercices

10: Introduction to Causal Inference

11: A/B test (and some exercises)

12: Linear Regression Refresher

13: Treatment Effects via Linear Regression Adjustments: Part I

14: Treatment Effects via Linear Regression Adjustments: Part II

15: Treatment Effects via inverse probability weighting

16: Treatment Effects via Machine Learning