BSTA 515 Data Management and Analysis in SAS

Instructor(s): Jodi Lapidus, PhD, and Xinbo Zhang, PhD

Course Description This course is designed for students who want to develop and expand their skills in data management, statistical analyses and graphics for real world applications using SAS. After brief introduction, the course will cover intermediate to early advanced level programming skills in SAS. The class will be taught in a computer lab in order to give the student hands-on experience using SAS to manage data, perform analyses and produce graphs. Class sessions and homework will be oriented around particular data management and analysis tasks. Health-related data sets will be provided for students to use. This course could be extremely helpful in preparation for research projects.

Credits 3

Term Offered Fall

Prerequisite BSTA 512 Linear Models or equivalent, or permission of instructor