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ECON 4367. Data Science for Business and Economics. 3 Hours.

Students examine and apply various data science methodologies and advanced statistical inference techniques used in economic, business, and public policy. Topics include logit regression models, random forest estimators, partialling out estimators for causal inference in business and economics, and an introduction to machine learning techniques.
Prerequisite: 42 hours, BANA 3363 or STAT 3379 or MATH 3379.