Data Analytics for Finance
Hands-on data analytics for finance using Python, covering forecasting, prediction, reporting, and analysis through progressively complex financial applications.
Summary
Recent recorded grades — Spring 2022: 3.63 GPA, 69.6% A/AB (n=23 letter grades).
What you’ll be able to do
Understand the fundamentals of programming and how those fundamentals are implemented in Python
Download, organize, and manipulate data to prepare them for Finance applications
Visualize and organize Financial Data for the purpose of creating effective presentations
Apply these programming skills in the context of standard financial applications such as asset pricing model estimation, Monte Carlo simulations for capital budgeting purposes, portfolio optimization, and financial analysis and forecasting
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapECON/FINANCE 300
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Recent recorded grades — Spring 2022: 3.63 GPA, 69.6% A/AB (n=23 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Advanced analytics methods for forecasting and prediction
- Python programming for finance
- Asset pricing, Monte Carlo simulation, portfolio optimization, and financial analysis
Skills
- Programming fundamentals in Python
- Data preparation for finance applications
- Financial data visualization and presentation
- Asset pricing, Monte Carlo simulation, portfolio optimization, and forecasting
Grades
Latest available · Spring 2022— not enough history to project Spring 2027.
Grade distribution · % of letter grades
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
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Selected offering source records
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Raw records
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Student reviews
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "475946a01492cb7a095b02e78686f3080c1b3a195b0ec077cdef962511f4e8f4",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}