GGRC42H3: Making Sense of Data: An Introduction to Geographic Data Science

This course builds on foundational knowledge of spatial analysis to introduce the principles and methods of geographic data science. Emphasizing spatial thinking and computational approaches, students learn how to acquire, clean, and visualize spatial data; identify patterns and relationships across places; and apply advanced analytical techniques to address questions in the social sciences. The course develops practical skills in coding, spatial data management, and reproducible analytical workflows that extend spatial analysis into contemporary data-driven research and policy practice.

Any 8.0 credits including [STAB23H3 and GGRB30H3]
Quantitative Reasoning