Explore causal inference methods for determining cause-and-effect relationships. Learn to apply statistical techniques to identify causality in data.

Introduction to Causal Inference. A free online course on causal inference from a machine learning perspective.

Learn to make causal claims by combining data with arguments. Taught by Y. Samuel Wang, Mayleen Cortez-Rodriguez, Filippo Fiocchi, and Shira Mingelgrin.

There are 6 modules in this course. This course offers a rigorous mathematical survey of causal inference at the Master's level. Inferences about causation ...

Causal Inference Courses. The following is a list of free courses in Causal Inference, sorted by format and date.

Our introduction to causal inference course for health and social scientists offers a friendly and accessible training in contemporary causal inference ...

CAUSALab's annual summer courses on causal inference are returning June 2025. Information regarding upcoming course offerings and registration will be ...

This course provides you with conceptual understandings, as well as tools to learn causality from data.

This course is a series of videos designed for any audience looking to learn more about how machine learning can be used to measure the effects of interventions ...

This course aims to define causation in biomedical research, describe methods to make causal inferences in epidemiology and health services research.