Adv Financial Data Analytics. 3 credits, 3 contact hours

Catalog description

Prerequisites: FIN 616 or instructor's approval, and familiarity with at least one programming language (for example, C, Java, Python, R or MATLAB). The financial services industry contains numerous data driven applications. For example, large financial institutions utilize Python in tandem with other established technologies to build, enhance, and maintain portions of their core IT and modeling systems. There are also many hedge fund and asset management firms that make heavy use of Python programming when it comes to efficient financial application and data analytics development. Establishing a quantitative view and mastering analytical approaches are critical nowadays for students and professionals in the finance industry. This course will provide essential skills in financial data analytics.