Programming for Economic Data Analytics credit:

4 Hours

Equips master's students with essential programming skills for analyzing economic data. Focus is on practical applications of programming in R and Python to handle, visualize, and analyze large datasets used in economics. Students will obtain the tools necessary to engage in data-driven research and be able to leverage programming languages to tackle complex economic problems. Prerequisite: ECON 202 , ECON 203 , and ECON 471; or equivalent. Restricted to MS: Economic Modeling, AI, and Data Science students.