Big Data in Finance
Durham
Paul College of Business&Econ::Accounting and Finance
Credits: 3.0
Class Size: 8
Term:
Spring 2024
-
Full Term (01/23/2024
-
05/06/2024)
CRN:
53643
Grade Mode:
Letter Grading
This course serves as an introduction to many aspects of big data utilization, specifically as it applies to finance. Topics typically include high frequency trading, stock market anomalies, data management, fintech innovations, and safety and ethics when working with big data. Programming languages common to finance, such as Stata, SAS, and Python, are learned and used to analyze and manipulate data.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): ACFI 801 and ACFI 802
Repeat Rule:
May be repeated for a maximum of
6
credits.
Instructors:
Svetlana Petrova
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/23/2024 | 5/6/2024 | MW | 11:10am - 12:30pm | PBLANE 216 |