FTA 4005 01 - Intro Financial Data Analytics
This course provides the foundation for financial data analytics used in business and FinTech applications. The objective of this course is for 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 a modern statistical programming environment, and apply these skills to address a range of problems encountered by business firms, including those in the 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, 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.
College of Business
||AUG 16, 2021
||DEC 07, 2021
||Time of Day
||Intnet - INTERNET BASED COURSE
||Open Seats:19 of 19 as of 01/18/2022 11:28:53
eMajor Introduction Quiz
||Instructional Method: 100% Online (E)
eMajor Introduction Quiz is required before registering. This 16-week course is taught completely online through eMajor. This course utilizes free digital resources in lieu of a textbook. This course may require a proctored exam which would include an additional cost.