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ECON 2708 [0.5 credit] Applied Data Analysis

An introduction to concepts and tools for using various forms of data to study applied economic problems. Topics may include identifying relevant datasets, collecting and cleaning both research-ready and user-assembled data sets, data visualization, and summary statistics.
Includes: Experiential Learning Activity
Prerequisite(s): COMP 1005 or COMP 1405 or ECOR 1606, or equivalent, with a grade of C- or higher; and ECON/MATH 1402, with a grade of C- or higher (or an equivalent department-approved MATH course pair with a grade of C- or higher in each); and ECON 2210 (or equivalent), with a grade of C+ or higher.
Lectures three hours a week, tutorial 1.5 hours a week.