Economic Data Science

0.5 credits · Undergraduate

Takes a hands-on approach to econometric analysis and data science. After introducing techniques of data processing and visualization with scientific computing libraries in Python, the course applies linear regression and discrete choice models to cross-sectional data. The course ends with a basic introduction to machine learning. Prerequisite: ECON 3200H or permission of the instructor.