We have all heard the phrase “correlation does not equal causation.” What, then, does equal causation? This course aims to answer that question and more!
A Crash Course in Causality: Inferring Causal Effects from Observational DataUniversity of Pennsylvania
About this Course
Skills you will gain
- Instrumental Variable
- Propensity Score Matching
- Causal Inference
Syllabus - What you will learn from this course
Welcome and Introduction to Causal Effects
Confounding and Directed Acyclic Graphs (DAGs)
Matching and Propensity Scores
Inverse Probability of Treatment Weighting (IPTW)
- 5 stars77.39%
- 4 stars18.73%
- 3 stars2.03%
- 2 stars0.81%
- 1 star1.01%
TOP REVIEWS FROM A CRASH COURSE IN CAUSALITY: INFERRING CAUSAL EFFECTS FROM OBSERVATIONAL DATA
A high quality course that delivers what it says in the title. Well-paced introduction to the potential outcomes framework, with a nice balance of theoretical and practical aspects.
Great introduction to the field covering model synthesis of causality ideals. Glitches in assignments - make sure to check the discussion for workarounds.
This course is really fantastic for all levels. Very thorough explanations and helpful illustrations. Many thanks for putting this together!
Great introduction on the causal analysis.The instructor did a great job on explaining the topic in a logical and rigorous way. R codes are very relevant and helpful to digest the material as well.
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