Data Analytics for Applied Economics credit:

4 Hours

Introduction to data analytics tools and techniques specifically tailored for applied economics. Students will learn how to analyze real-world economic data using modern statistical and machine-learning methods. Focus is on practical applications in economic policy analysis, market research, and decision-making, leveraging tools like Python, R, and specialized economic databases. Prerequisite: ECON 506 . Restricted to MS: Economics Modeling, AI, and Data Science students.