BST 6060 Data Management for Public Health Using SAS 3.0 Credits
This course equips students with advanced skills in data handling and statistical programming essential for epidemiologic and biostatistical research. The course emphasizes principles of efficient, accurate, and reproducible data management while deepening SAS proficiency. Topics include exploratory data analysis, variable operationalization, data linkage, missing data strategies, and workflow automation using macros. Through lectures, guided labs, and hands-on projects with real-world datasets, students will learn to reshape, merge, and document data processes, preparing them to manage complex datasets and implement transparent coding practices.
Repeat Status: Not repeatable for credit
Prerequisites: (BST 5000 [Min Grade: B-] or BST 571 [Min Grade: B-]) and (BST 5001 [Min Grade: B-] or BST 555 [Min Grade: B-]) and (EPI 5000 [Min Grade: B-] or EPI 570 [Min Grade: B-])