Courses/Analytical Reasoning/Causal Inference for Business Impact
Advanced7 lessons • 7h 0m

Causal Inference for Business Impact

Move beyond correlation. Design experiments, analyze quasi-experiments, and establish causality when randomization is impossible.

Every executive needs to answer: "Did our intervention actually cause the outcome, or would it have happened anyway?" This course teaches the gold-standard methods for causal inference: randomized experiments, difference-in-differences, regression discontinuity, instrumental variables, and synthetic controls. You'll work with real datasets and learn to spot the statistical landmines that can make your conclusions worthless.
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Skills you'll master:
A/B TestingDiD AnalysisRDDIV EstimationSynthetic Control
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⚠️ Prerequisites

Syllabus

0 of 7 lessons complete
1
The Fundamental Problem of Causal Inference
📖Reading•40m
2
Designing Robust Experiments
💻Interactive Lab•60m
3
Difference-in-Differences in Practice
📊Case Study•75m
4
Regression Discontinuity Design
💻Interactive Lab•60m
5
Instrumental Variables for Natural Experiments
📖Reading•50m
6
Synthetic Control Methods
📊Case Study•90m
7
Capstone: Causal Analysis of Your Organization's Intervention
👥Peer Review•120m