A First Course in Causal Inference

TL;DR

This paper presents introductory lecture notes on causal inference, designed for students with basic knowledge of probability and regression, based on seven years of teaching at UC Berkeley.

Contribution

It provides accessible, foundational educational material on causal inference tailored for undergraduates with minimal prerequisites.

Findings

Effective teaching material for beginners

Seven years of course experience incorporated

Accessible to students with basic statistical background

Abstract

I developed the lecture notes based on my ``Causal Inference'' course at the University of California Berkeley over the past seven years. Since half of the students were undergraduates, my lecture notes only required basic knowledge of probability theory, statistical inference, and linear and logistic regressions.