FIN 450 - Applied Data Science in Finance I

★ 3 (fi 6)(EITHER, 3-0-0)

Faculty of Business

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

Winter Term 2024

Lectures

Section Capacity Class times Instructor(s)
LECTURE B01
(16670)
Download syllabus
30
2024-01-08 - 2024-04-12 (W)
09:30 - 12:20
BUS B-05
Primary Instructor: Philippe Cote

Fall Term 2024

FIN 450 - FinTech II: Applied Data Science in Finance
★ 3 (fi 6)(EITHER, 3-0-0)

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).


Lectures

Section Capacity Class times Instructor(s)
LECTURE A01
(51429)
30
2024-09-03 - 2024-12-09 (W)
09:30 - 12:20
T 1-100

Winter Term 2025

FIN 450 - FinTech II: Applied Data Science in Finance
★ 3 (fi 6)(EITHER, 3-0-0)

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).


Lectures

Section Capacity Class times Instructor(s)
LECTURE B01
(75557)
45
2025-01-06 - 2025-04-09 (W)
09:30 - 12:20
T B-81