STAT 305 Introduction to Big Data Analysis




This course introduces modern tools and techniques used for manipulation, analysis and visualization of large datasets using software. Students will study regression models to make predictions and analyze the relationship between variables. Students will gain hands-on experience visualizing, analyzing, and interpreting large datasets from disciplines such as social sciences, life sciences, physical sciences, economics, education, and engineering.


45 credits of 100-level or higher coursework including COMP 115 and one of: STAT 101, STAT 205, LBST 201, BADM 210, PSYC 213, or KINE 302

Course Notes

STAT 305 is an approved Science and Technology course for Cap Core requirements.

STAT 305 is an approved Science course. STAT 305 is an approved Quantitative/Analytical course for baccalaureate degrees.

Course Outlines

Please note: Course outlines of record posted may vary from the section syllabus distributed by each instructor (e.g. textbooks, assignments, timing of midterms).


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Student Information Services

604 984 4900
604 984 1798 (fax)
Library Building, room LB152