This course is a capstone seminar for students in the Data Intelligence and Business Analytics major. Students will use software, such as R, to analyze a data set and propose a unique project that can be presented as a stand-alone analysis of the data. Techniques used will include base, grid, and lattice graphics, statistical techniques, such as regression and forecasting, and basic programming.

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00


Spring 2024 Semester
Course Title Instructor Campus Section Syllabus
Business Analytics Capstone Michael Sinkey, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource