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. Prerequisites: FIN 301 and FIN 412
Section | Capacity | Class times | Instructor(s) |
---|---|---|---|
30 |
2024-01-08 - 2024-04-12 (W)
09:30 - 12:20
BUS B-05
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Primary Instructor: Philippe Cote
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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 | Instructor(s) |
---|---|---|---|
LECTURE A01
(51429) |
30 |
2024-09-03 - 2024-12-09 (W)
09:30 - 12:20
T 1-100
|
|
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 | Instructor(s) |
---|---|---|---|
LECTURE B01
(75557) |
45 |
2025-01-06 - 2025-04-09 (W)
09:30 - 12:20
T B-81
|
|