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STAT 305 Introduction to Big Data Analysis

3.00

(4,0,0)

15

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.

Prerequisites

COMP 215 and one of: STAT 101, STAT 205, LBST 201, BADM 210, PSYC 213, TOUR 350, 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).

Effective Term
PDF Acrobat Adobe Reader Fall 2020 onwards

Contact

Have questions about this course?

Student Information Services

604 984 4900
604 984 1798 (fax)
Birch Building, room BR230
registration@capilanou.ca