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ECON 270 Using Big Data to Solve Economic and Social Problems 4.0 Credits

This course shows how big data can be used to understand and address some of the most important social and economic problems of our time. The course introduces students to research questions and policy applications in economics and social science in a non-technical manner that does not require prior coursework in economics or statistics, making it suitable both for students exploring economics for the first time as well as for more advanced students. The course will cover topics such as equality of opportunity, education, innovation and entrepreneurship, health care, climate change, tax policy, globalization, and the COVID-19 pandemic. In the context of these topics, the course will also introduce the basics of data science, including regression, causal inference, and machine learning.

College/Department: Bennett S. LeBow Coll. of Bus./School of Economics
Repeat Status: Not repeatable for credit

Behavioral Economics, Business, and Organizations BS

https://catalog.drexel.edu/undergraduate/schoolofeconomics/behavioraleconomicsbusinessandorganizations/
Major:  Behavioral Economics, Business, and Organizations Degree Awarded: Bachelor of Science (BS) Calendar Type: Quarter Minimum Required Credits: 180.0 Co-op Options:   Three Co-op (Five years); One Co-op (Four years); No Co-op (Four years) Classification of Instructional Programs (CIP) code:  45.0603 Standard Occupational Classification (SOC) code:  15-2051