FIN 550
Fall 2025 Part of Term 1
Aug 25-Dec 10
Credit: 4 hours.
Recent trends in "big data" present both enormous challenges and opportunities for businesses. This course introduces concepts and techniques of data analytics and shows how they can be used for making predictions, and to distinguish between correlation and causation, in the context of financial and economic analysis. Covered tools include data visualization, machine learning, regression analysis, randomized trials, A/B testing, and quasi-experiments.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
76742
|
Lecture-Discussion
|
BD1
|
11:00AM
-12:20PM
|
MW
|
3039 Business Instructional Fac
|
Martinez Garcia, H
Reif, J |
|
|
|
76741
|
Lecture-Discussion
|
BD2
|
9:30AM
-10:50AM
|
TR
|
3007 Business Instructional Fac
|
League, R
Martinez Garcia, H |
|
|
|
76755
|
Lecture-Discussion
|
BD3
|
11:00AM
-12:20PM
|
TR
|
3041 Business Instructional Fac
|
League, R
Martinez Garcia, H |
|
|
|
77523
|
Lecture-Discussion
|
BD4
|
8:00AM
-9:20AM
|
TR
|
3007 Business Instructional Fac
|
League, R
Martinez Garcia, H |
|
|
|
80661
|
Lecture-Discussion
|
BD5
|
9:30AM
-10:50AM
|
MW
|
3039 Business Instructional Fac
|
Martinez Garcia, H
Reif, J |
|