This course is designed to provide students with an understanding of the statistical methods used in categorical data analysis. These include traditional methods for two-way contingency tables (e.g., Chi-squared test, Fisher's exact test). The majority of the course, however, will focus on regression models, with a particular emphasis on logistic regression models. Analysis of repeated categorical response data, namely marginal and random effects models will also be covered. Inference using maximum likelihood estimation will be emphasized. Both application and theory will be covered.