Economics

ECON 22P Introduction to Python for Data Science

Introduction to programming in Python with emphasis on commands and workflow useful for data science, especially in economics and other social sciences. Data science applications are interwoven with lessons about basic syntax. Topics of study include variables and operations, containers, Pandas dataframes, conditional statements and conditional slicing of dataframes, loops, advanced string processing, file input/output, functions, and data visualization. This course places less emphasis on object-oriented programming and more emphasis on practical data science applications.

Requirements

Enrollment is restricted to proposed and declared economics, business management economics, global economics, economics/mathematics combined, and environmental studies/economics combined majors. Restrictions lifted after first pass enrollment.

Credits

5

General Education Code

MF

Quarter offered

Winter, Spring