FTA 4005 - Introduction to Financial Data Analytics

Credits: 3

This course provides the foundation for financial data used in business and FinTech applications. The objective of this course is for the students to gain experience in analyzing financial data using modern machine learning techniques, statistical methods, and prediction models. Students will develop computational skills to perform data analysis using modern statistical programming environments and apply these skills to address a range of problems encountered by business firms including those in FinTech industry. The topics discussed include an introduction to R language, visualization of financial data, cluster analysis, simple and multiple linear regression, classification models, high dimension data analysis using Lasso, tree regression, and model assessment and selection using cross validation. Students will have hands on experience in the development of data analytics applications to analyze real world financial problems.