This course provides data science skills that are needed to implement financial concepts and theories. Topics covered include data wrangling, visualization, web scraping, machine learning, and natural language processing. Students gain an ability to draw informed insights from data for identifying business's needs, and to articulate solutions with effective visualization supporting business communication and discussions. Prerequisite: FIN 312 (Credit in FIN 449 is recommended).
| Section | Capacity | Class times | Login to view Instructor(s) and Location |
|---|---|---|---|
| 40 |
2026-01-05 - 2026-04-10 (W)
09:30 - 12:20
|
|
This course provides data science skills that are needed to implement financial concepts and theories. Topics covered include data wrangling, visualization, web scraping, machine learning, and natural language processing. Students gain an ability to draw informed insights from data for identifying business's needs, and to articulate solutions with effective visualization supporting business communication and discussions. Prerequisite: FIN 312.
| Section | Capacity | Class times | Login to view Instructor(s) and Location |
|---|---|---|---|
|
LECTURE 800
(53968) |
45 |
2026-09-01 - 2026-12-08 (W)
09:00 - 11:50
|
|
This course provides data science skills that are needed to implement financial concepts and theories. Topics covered include data wrangling, visualization, web scraping, machine learning, and natural language processing. Students gain an ability to draw informed insights from data for identifying business's needs, and to articulate solutions with effective visualization supporting business communication and discussions. Prerequisite: FIN 312.
| Section | Capacity | Class times | Login to view Instructor(s) and Location |
|---|---|---|---|
|
LECTURE 850
(79057) |
40 |
2027-01-04 - 2027-04-09 (W)
09:00 - 11:50
|
|