MFIN2270 · Finance
Carroll School of Management
Corporations, investment banks, and asset management firms increasingly base their operational and investment decisions on the statistical analysis of "big data." In this course, you will be introduced to Python, a popular open-source modern programming language, and learn how to use it to extract data from online sources, estimate univariate and multivariate regressions on real-world financial data, and perform Monte Carlo simulations.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.5 / 5
How well the course was organized
Challenge
4.6 / 5
How intellectually challenging students found it
Attendance
4.3 / 5
How necessary attendance was
Assignments
4.6 / 5
How helpful assignments were
Weekly effort
~5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Associate Professor, Finance, Carroll School of Management
4.4 / 5
4.1 / 5
Assistant Professor, Finance, Carroll School of Management
4.2 / 5
4.0 / 5
Assistant Professor of the Practice, Finance, Carroll School of Management
3.9 / 5
3.9 / 5
Across time
Section-level results available in the recovered archive.
Spring 2025
2 sectionsFall 2024
3 sectionsSpring 2024
2 sectionsFall 2023
3 sectionsSpring 2023
2 sectionsFall 2022
3 sectionsSpring 2022
2 sectionsFall 2021
3 sectionsSpring 2021
2 sectionsFall 2020
3 sections