Uplift Modeling & Causal ML Learning Path

An online workshop on causal modeling and inference within a machine learning context, designed for self-paced learning.

An open and free course from Carnegie Mellon University that introduces causal and statistical reasoning for critical thinking.

A series of summer courses offered by Harvard's CAUSA Lab, providing in-depth training on causal inference.

This course focuses on the methods used to measure causal effects in the social sciences, a key area for practitioners.

An interactive Data Camp course teaching the fundamentals of causal inference and how to implement various methods in R.

A series of workshops based on the popular book Causal Inference: The Mixtape, covering foundational and advanced topics in a hands-on manner with code in R and Stata.