The Causal Inference Playbook: Advanced Methods Every Data Scientist Should Master

Master six advanced causal inference methods with Python: doubly robust estimation, instrumental variables, regression discontinuity, modern difference-in-differences, heterogeneous treatment effects and sensitivity analysis. Includes code and a practical decision framework. The post The Causal Inference Playbook: Advanced Methods Every Data Scientist Should Master appeared first on Towards Data Science.