Data Science in Bus, Econ, Soc

3 Credits · Level: Graduate, Undergraduate

Data science is increasingly important in business, economics, and society. This course introduces students to not only the mechanics behind data analysis but also the critical thinking required for interpreting results. Students will learn advanced statistical and econometric principles that underpin modern data science algorithms and apply these techniques to study relevant economic and social problems of our time. In doing so we will survey frontier empirical research in economics and other social sciences, covering questions from labor studies, international trade, urban studies, environmental science, development, and economic geography. This class features a significant “hands-on” component as well as live classroom discussion, including guest speakers across business, academia, and government.