FINN 53403 — Financial Data Analytics II
Continuation of Financial Data Analytics I with quantitative applications in finance. Students use financial data application programming interfaces (APIs) and Python tools to run statistical tests, build and evaluate regression models, apply time series methods, and perform portfolio construction and optimization. Basic machine learning methods are introduced with attention to validation and reproducibility. Prerequisite: Graduate standing in the Master of Science in Finance program. (Typically offered: Fall)