Learner Reviews & Feedback for Causal Inference 2 by Columbia University

Reading off the slides, no real explanation of concepts or notes provided.

No engaging. Unable to complete the tasks

Excellent treatment of mediation, regression discontinuity, longitudinal causal inference, interference and fixed effects. This course has whetted my appetite to dig in to the relevant statistics literature in more detail. The potential outcomes framework is so powerful in terms of delineating causal assumptions and clearly setting up identification conditions for empirical estimation of causal effects.

This course is painful. Lots of dry maths with no relatable examples. Difficult to follow.

Too few and easy assessment questions that does not help understand the course much

Terrible