Fin Data Analytics. 3 credits, 3 contact hours

Catalog description

Prerequisites: CS 100 or CS 103 or CS 106 , 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.