Using Big Data to Solve Economic and Social Problems

Undergraduate

Applications of big data to analyze and solve current problems in various fields including economics and business, other social sciences, health sciences and the environment, among others. Data visualization, variable reduction, regression, quasi-experimental methods, machine learning, and other relevant big data analytical techniques are introduced. Analysis of Google Trends data is also covered. Course Format: Lectures, lab, 4 hours per week. Course Notes: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.