ECON 312 - Data Science Tools for Social Scientists

FC SSCI QFR

4 credits
This course serves as an introduction to tools, environments, and workflows that are frequently used by data scientists working in industry, and is targeted to students in social sciences. The emphasis is made on mastering tools, rather than learning methods. Topics include Python and Unix fundamentals, SQL, data cleaning and regex, data wrangling and visualization with Python, API requests, multiprocessing and distributed computing, and containers and cloud environments. Students in groups will propose and work on a data-related project. Minimal coding skills or willingness and time to learn those are required.

Prerequisites: ECON 101 and (ECON 255 or STAT 113).