Financial Data Analytics

Catalog description

Prerequisites: Graduate standing. This course covers fundamentals of Python and R programming with hands-on projects and specific applications in finance. Students will learn to acquire, clean, analyze and visualize both structured (tabular data such as spreadsheets) and unstructured data (text data such as social media). Both data programming languages are used in data analytics, machine learning, and artificial intelligence in modern financial services industry including banks, brokerage houses, hedge funds, and mutual funds.