COMM_V 407 - Real Estate Economics

This course takes an empirical approach to economics, using data to analyze real estate markets and urban issues. Students develop end-to-end data analysis skills — acquiring and cleaning large datasets such as Census microdata and Vancouver housing transactions, transforming data, building visualizations, and producing spatial maps — through hands-on application of statistical methods, R programming, and AI tools.

The curriculum combines structured training with individual and group research projects, guiding students from raw data to polished, professional presentations of empirical findings. As R is the primary tool for analysis and visualization, exams will emphasize R coding proficiency.

Prerequisite: One of COMM 295, ECON 201, ECON 301.