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ACE 592 SAE - Special Topics - Data Science for Applied Econo

Campus: Urbana-Champaign


Group instruction on a special topic under the direction of one or more members of the faculty. Course Information: Approved for both letter and S/U grading. May be repeated in a semester to a maximum of 8 hours. May be repeated to a maximum of 24 total hours, if topics vary.

Special Instructions:

This course will teach data science tools and workflow for analysis of questions in applied economics. Using the python programming language and git version control, we will cover obtaining data via scraping and APIs, processing and cleaning data using python, and analyzing data via data visualization and basic machine learning techniques. The course will broadly cover the basics of text, spatial, and numeric data with an emphasis on their uses in analyzing economic questions and conducting research.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Spring


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