Statistical Data Management and Analysis with SAS
Statistics · 3 hrs Lecture
Offered: Every Second Year
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Hard to catch. Runs only every second year, and the calendar doesn't say which, confirm the next offering with the department before counting on it.
STAT-2902 prerequisites
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Description
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.
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)].
Note
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.
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.