/Causal-Inference-for-Data-Scientists

Notebooks of Python and R code which illustrates basic causal inference using simulated data

Primary LanguageJupyter NotebookMIT LicenseMIT

Causal Inference for Data Scientists

Notebooks of Python and R code which illustrates basic causal inference using simulated data

Materials

Introductory Blog: Medium

Deck from Talk: Google Slides

3rd Party Resources

In addition to any material I adapt and create in the repo, here is a running list of resources which I have found valuable as I've skilled up in Causal Inference.

Books

  • Mastering the 'Metrics - Probably the best place to start. Provides an approachable introduction to Causal Inference and the primary tools used by econometricians.
  • Mostly Harmless Econometrics - A more thorough introduction to Econometrics. Very approachable, but a little more math heavy than Mastering the 'Metrics

Videos

Ben Lambert has made a ton of fantastic videos on Econometrics. He has done both undergraduate and graduate level. I found these videos super useful as quick refreshers or when I needed an alternative explanation of various topics. Definitely worth bookmarking.