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FIN 9777

Data Science in Finance · 3 credits · Fall 2026

Requirements

PreRequisite: STA9708 or FIN9762

About this course

This course serves as an introductory exploration into the analysis of economic and financial data leveraging the Python programming language. Students will acquire a foundational understanding of Python's syntax and structures, then delve into the core components of data science: data input, manipulation, visualization, and statistical analysis. Emphasis will be placed on practical applications using real-world economic and financial datasets. Throughout the course, students will engage in hands-on exercises and projects to reinforce their learning and develop proficiency in conducting empirical data science analyses within the context of economics and finance.

Seat status as of Sep 28, 10:49 PM ET. Seats change fast, so a class shown as open may be full by now. Watch a full class to be emailed the moment it opens.

Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means

ONB-LEC Seven Wk 2
Arranged · TBA
Online-Asynchronous
Bill QiaoOnly 1 rating, too few to rank★ 5.0(1)Difficulty 2.0/5 · 100% would take again
Online AsynchronousOpen
UTA-LEC Regular
Tue · 6:05 PM - 9:00 PM
A - 17 Lex 5SO
Bill QiaoOnly 1 rating, too few to rank★ 5.0(1)Difficulty 2.0/5 · 100% would take again
Hybrid AsynchronousOpen