GGRC42H3 Making Sense of Data: Applied Multivariate Analysis

This course introduces students to the main methods of multivariate analysis in the social sciences, with an emphasis on applications incorporating spatial thinking and geographic data. Students will learn how to evaluate data quality, construct analysis datasets, and perform and interpret multivariate analyses using the R statistical programming language.

Prerequisite: 

STAB22H3 or equivalent

Exclusion: 

GGRC41H3 (if taken in the 2019 Fall session)

Breadth Requirements: 
Quantitative Reasoning