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): ECON 1401 and ECON 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. [0.5 credits]
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): ECON 1401 and ECON 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. [0.5 credits]
