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!
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A Crash Course in Causality: Inferring Causal Effects from Observational Data
University of PennsylvaniaAbout this Course
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Try Coursera for BusinessSkills you will gain
- Instrumental Variable
- Propensity Score Matching
- Causal Inference
- Causality
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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)
Reviews
- 5 stars77.36%
- 4 stars18.72%
- 3 stars2.05%
- 2 stars0.82%
- 1 star1.02%
TOP REVIEWS FROM A CRASH COURSE IN CAUSALITY: INFERRING CAUSAL EFFECTS FROM OBSERVATIONAL DATA
I completed all 4 available courses in causal inference on Coursera. This one has the best teaching quality. The material is very clear and self-contained!
My work involves working with observational data. This course taught me to think in more formal and organized way on topics and questions of causal inference.
This course is really fantastic for all levels. Very thorough explanations and helpful illustrations. Many thanks for putting this together!
It will be better to give reviews of related applications in specific AI areas (e.g, computer vision, NLP, etc.) at the end of each of the sections of the lesson.
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