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S06 · Causal Inference

A free, illustrated L3 course of 10 modules in the Statistics and Data Analysis track. Modules include: Potential outcomes; Causal graphs and d-separation; Confounders, colliders and adjustment.

S06 L3 · Advanced 10 modules · about 40 lessons Planned · Ring 3

Part of the Statistics and Data Analysis track. Ships in Ring 3 (Breadth) of the roadmap.

Modules

1. Potential outcomes
2. Causal graphs and d-separation
3. Confounders, colliders and adjustment
4. Matching and propensity scores
5. Instrumental variables
6. Difference-in-differences and synthetic control
7. Regression discontinuity
8. Heterogeneous effects and causal ML
9. Mediation and sensitivity analysis
10. Causal discovery

Signature illustrations

The pictures a learner should still see in their head a year later:

Gallery of forks, chains and colliders, backdoor paths lighting up, parallel-trends plots, discontinuity jump plots, instrument path diagram.

Status

This course is planned, not written yet. It ships with Ring 3 (Breadth).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.