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, 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. Please check https://alexmoskalev.com/e312 for details.
Prerequisites & Notes: ECON 101 and (STAT 113 or ECON 255) or Instructor’s permission.

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