ECON 481 A: Data Science Computing for Economics

Autumn 2022
Meeting:
MW 11:30am - 1:20pm / SIG 230
SLN:
23143
Section Type:
Lecture
STUDENTS WHO TOOK ECON 406 IN AUTUM 2020 AND AUTUMN 2021 SHOULD NOT TAK THIS COURSE.
Catalog Description:
Provides technical foundations required to do rigorous computational analytical work with economic data and models, either in an academic or professional setting. Includes learning how to gather economic data programmatically, use industry standard tools to analyze it, and build custom tools. Prerequisite: a minimum grade of 2.0 in ECON 300; MATH 126; ECON 382 or ECON 482; and either STAT 311, STAT 390, or Q SCI 381; recommended: MATH 208.
GE Requirements Met:
Natural Sciences (NSc)
Credits:
5.0
Status:
Active
Last updated:
June 22, 2024 - 12:55 pm