This interdisciplinary course examines financial markets and decision-making using perspectives and methods from multiple disciplines such as finance, economics, statistics , ethics and artificial intelligence. Topics covered will include collecting, cleaning, and analyzing market and fundamental data; building predictive and risk models; and communicating results with clear visuals and reproducible notebooks.

Connections 200-400 Level
Prerequisites
MATH 160 or permission of instructor.
Course UID
006795.1
Course Subject
Catalog Number
493
Long title
Financial Data Analytics