Free Lesson
Causal Inference for Real-World Decision Making
30 min
May 4, 2026 1:00 PM
What you'll learn
Choose the Right Causal Method for the Problem
Learn when to use DiD, IV, RDD, matching, or synthetic control for real business questions.
Validate Assumptions and Diagnose Failure Modes
Spot weak assumptions, run diagnostics, and identify failure modes before trusting results
Communicate Causal Results for Better Decisions
Present causal findings clearly, explain caveats, and make recommendations stakeholders can act on
Why this topic matters
Many of the most important real-world decisions can’t be tested with clean A/B experiments because experiments may be too costly, too slow, impractical, or ethically impossible. Causal inference helps us estimate true impact from observational data, avoid misleading conclusions from correlation alone, and make better product, business, policy, and operational decisions.
You'll learn from
Anirban Bhattacharyya
Seasoned data scientist with more than 10 years of experience in data science
