This course provides an introduction to methods for supervised and unsupervised learning for the social sciences.

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.