This class provides an introduction to statistical methods for social science and policy analysis. The class covers causal inference, measurement, prediction with a focus on linear and logistic regression, probability, and uncertainty. Each topic is accompanied by exercises in the R programming language.

This course provides an introduction to statistical methods used for causal inference in the social sciences, covering both experimental and observational studies.