Categorical data is a type of qualitative data that involves grouping observations into categories instead of measuring them numerically. It is a common form of data found in many branches of science, so the ability to work effectively with categorical data is an important skill for researchers to possess. This course will provide students with the knowledge and skills to perform and interpret categorical data analysis involving contingency tables and logistic regression models. The statistical software package R with the R Studio interface will be used. Both descriptive and inferential statistical methods will be covered.