Social Data and Statistics credit:

4 Hours

Introduction to a variety of data structures typically found in sociological research and the statistical software for data management, data manipulation/cleaning, and statistical analyses. Coverage also includes foundational statistical methods such as descriptive statistics, hypothesis testing for bivariate analyses, and linear regression to answer research questions in the social sciences. Prerequisite: Restricted to Graduate level students.