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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

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 10 terms, Winter 2021 to Winter 2024