DATA TOOLS FOR COMPUTATIONAL ECONOMICS

Credit Hours: 4 · Graduate

This course teaches the foundational skills necessary to do modern data analytics using the Python programming language. We assume that students have previously worked with Python. We will add to existing Python skills and teach the core scientific and data-specific libraries (numpy, scipy, matplotlib, and pandas). We will use these skills to analyze a variety of economics and social science datasets and answer research and business questions. Graduate/Undergraduate Equivalency: ECON 208 . Recommended Prerequisite(s): Students should have prior experience using the Python programming language before starting this course. Throughout this course we will leverage programming skills such as control flow constructs (if/else, for/while), defining custom functions (def), and finding help on existing functions (? in Jupyter environments and help elsewhere). Although a course in probability or statistics is not a prerequisite, students will find some knowledge of these topics to be helpful. Mutually Exclusive: Cannot register for ECON 632 if student has credit for ECON 208 .