Econometrics and Statistics for Business in R & Python

Updates:November 2025: All Python tutorials have been remade and are up to date. Econometrics has horrible fame. The complex theorems, combined with boring classes where it feels like you are learning Greek, give every student nightmares.

This course stays away from that. It will focus on (1) giving you the intuition and tools to apply the techniques learned, (2) making sure everything that you learn is actionable in your career, and (3) offer you a tool kit of peer-reviewed econometric causal inference techniques that will make you stand out and give you the ability to answer the tough questions. WHY ECONOMETRICS AND CAUSAL INFERENCE FOR BUSINESS IN R AND Python.

In each section, you will learn a new technique. The learning process is split into three parts. The first is an overview of Use Cases.

Drawing from business literature and my own experience, I will show examples where each Econometric technique has been applied. The goal here is to show that Econometric methods are actionable. The second part is the Intuition tutorials.