Fin Data Analytics

Prerequisites: CS 100 or CS 103, MATH 333 or MGMT 216, and FIN 218. This course covers data analytics for common finance applications using popular programming languages, such as Python or R. It consists of two stages: Stage 1 for introducing programming basics; Stage 2 for covering commonly used analytical skills for applications in finance. Two real-data applications will strengthen the students’ hands-on experiences. The course provides students with essential analytics training as needed for financial applications.

Term 202410 #13057 FIN320
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Instructor
Meeting Times
Location: KUPF 108 (NK)
@ 08:30 - 09:50
From 2024-01-16 to 2024-05-09
Enrollment

0

seats available

43

currently enrolled

43

maximum enrollment

99

waitlist seats available

99

waitlist capacity

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