Causal Inference Made Practical: Unlocking Business Insights with the DoWhy Library
Every analyst stared at a dashboard showing a seemingly clear pattern many times. Premium customers
2026-03-19
Tutorials
Hands-on guides, code walkthroughs, and causal inference tutorials for data scientists.
Did It Really Work? The Hidden Dangers of Pre/Post Analysis
The most important question in almost any organisation is also the most difficult one: Did something
2026-03-07
The Simple Theorem Behind Modern Causal AI
Marketing teams often celebrate when dashboards show a clear, positive correlation between sales and advertising
2026-02-16
Beyond Correlation: A Practical Guide to the Backdoor Criterion in Python
Estimating the effect of one variable on another is at the core of causal inference.
2025-12-16
Parallel Trends: The Make-or-Break Assumption for Difference-in-Differences
Difference-in-Differences (DiD) is a widely used technique to estimate causal effects when randomized experiments are
2025-06-21
Causal AI in Action: Drive Conversions with Uplift Modeling
In the world of marketing, deciding which customers to target with specific promotions can feel
2025-05-17