Statistical Data Management and Analysis with SAS

3 credits · Undergraduate

(3 hrs Lecture) This course introduces students to the SAS programming language, a widely-used tool in analytics and data science, and equips them with essential skills and best practices in programming and basic statistical analysis through SAS procedures. Students learn effective data management by learning to read, edit, combine and store data. The course then guides students through exploration, visualization and summarizing the data using tables and graphs; data simulation is also covered. Emphasis is placed on practical applications and hands-on experience with real-world datasets. Experimental Course - This course is offered on a trial basis to gauge interest in the topic. Students who successfully complete this course receive credit as indicated. Requisite Courses: STAT-1302(3) or STAT-2001(3) or CJ-2114(3) or GEOG- 2309(3) or PSYC-2101(3) or SOC-2125(3) or Permission of the Instructor [prerequisite(s)].