Data Science Advanced Pro

Causal Inference Basics

Estimate what a change caused when you could not run the experiment

30 min read 8 views

Learn potential outcomes, confounding and colliders, and the observational toolkit — regression adjustment, matching, IPW, difference-in-differences, regression discontinuity, instrumental variables and synthetic control — with worked examples and failure modes.

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Practice questions (5)

Why Adopters Look Better Than They Are

Intermediate · Free

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Inverse Probability Weighting by Hand

Advanced

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Difference-in-Differences for a Regional Fee Change

Intermediate

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Instrumental Variables from an Encouragement Design

Advanced

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Bad Controls, Colliders and the Adjust-for-Everything Reflex

Advanced

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Quizzes (1)

Causal Inference Basics Quiz

0 attempts · 10 min · Pass 70% · Advanced

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