Undergraduate Catalog 2016-2017

BUSA 3415 Data Science for Finance & Economic Applications

The focus of this course is the transition from financial and economic models of asset returns and behaviors to econometric modeling using real data. Students will develop an understanding of how financial and economic theories can be used to build testable hypotheses using empirical data and econometric statistical techniques. The course will utilize Microsoft Excel for spreadsheet modeling, and IBM's SPSS software and "R" for data analysis and statistical modeling. "R" is an open-source modeling and graphical analysis language and package built at Bell Labs.

Credits

3

Prerequisite

BUSA 1210, BUSA 3500, and BUSA 3210