ECON 626Machine Learning for Economists
- Units
- 0.50
- Level
- Graduate
- Faculty
- Arts
- Subject
- Economics
ECON 626 as listed in the Fall 2025 Graduate Calendar. The main page has the current version, when it runs, and seats.
This course explores a variety of machine learning methods used to analyze complex economic data and inform policy decisions. The course introduces students to predictive methods and exploratory data analysis for high-dimensional data. These methods, such as decision trees and neural networks, are applied to observational data with an emphasis on the analysis of large and/or complex datasets of interest to social scientists and policy makers
Prerequisites
None listed.
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Fall 2025
- Graduate Calendar, Fall 2025The archived entry
- Requirements for Fall 2025Waterloo’s requisite checker
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them