Causal Inference: a brief introduction

Date
Type
Workshop
Language
English
Topic
Causal Inference & Data Science
Length
75 minutes

About this talk

Discover how causal inference separates correlation from causation to drive better decisions. This fast-paced introduction covers key concepts-treatments, counterfactuals, DAGs, confounding, experiments vs. observational data-and practical tools like A/B tests, DiD, and IVs. Learn design principles, common pitfalls, and how to frame questions that unlock credible, actionable insights at scale.

Photos (1)

Photo of Causal Inference: a brief introduction
In the gallery of PyDay BCN (2025), with the post it was published in.