This semester long course will provide participants with sufficient knowledge to manage data from collection to analysis in SAS for Windows. Emphasis will be placed on the data life cycle, database structures, cleaning, manipulation, documentation, and dynamic reporting of data. Upon completion, students should be able to be able manage a small project from start to finish, providing well documented reproducible code to generate a report, codebook and data set ready for data analysis. Macro programming, structured query language (SQL), public data sets and reporting tools commonly used in nutrition analysis will be utilized during the semester. In-class exercises and weekly homework assignments will allow students to acquire hands-on experience solving common data management tasks in SAS.