This course is designed for students interested in applying their knowledge of intermediate epidemiologic methods to the analysis of observational data. Topics include conceptualizing data analysis by defining an addressable research question, utilizing directed acyclic graphs (DAGs) for confounder selection, choosing appropriate exposure and outcome measurements and interpreting the results with respect to strengths, limitations, and biases. This hands-on course will put the concepts of intermediate epidemiology into application as the students perform a data analysis project from start to finish. Data analysis will be performed using SAS. Statistical theory will not be a focus of this course.