Financial Data Analytics. (3 h)

This course serves as an introduction to many aspects of financial technology and data. Topics include machine learning, data visualization, Excel pivot tables and dashboards, monte carlo simulation, encryption, safety and ethics when working with financial data, Python, and introductions to traditional programming languages. Students will become familiar with and use Bloomberg terminals, Excel, Python, Morningstar, and Crystal Ball to analyze, visualize, and manipulate data. Students will apply these skills to work with real world financial data solving problems they are likely to see outside of the classroom. P- FIN 203 and 232 with a C or better; or prerequisite override required.