Go to Course: https://www.coursera.org/learn/causal-inference
MODULE 1: Key Ideas
Module 2: Randomization Inference MODULE 3: RegressionModule 4: Propensity ScoreModule 5: MatchingModule 6: Special TopicsThis course offers a rigorous mathematical survey of causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships. We will study method
The teacher is great, but some things could be explained more clearly. Also, there are some errors in the assignments. Other from that, totally worth it!
Assignments are a mess, and apparently haven't been fixed for years after multiple complaints. Otherwise a good course, although not better than the one from U of PA, which was more accessible IMO.
Great course. Really interesting and condensed content. However, It was difficult to follow lectures without any kind of reading and there wasn't any support on the discussion forums.
!!!! very useful, professor is very professional, and course has high value!
A good course. Lot's of insights on Propensity Score Matching. They show good references to those willing to read some articles. Although quick classes, exercises are easy and very practical.