Description

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.

Requisites

Prerequisites: ECON 3408 Minimum Grade: C and ECON 3402 Minimum Grade: C and ECON 3460 Minimum Grade: C

Course Hours

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

Semesters

Spring 2026 Semester
Course Title Instructor Campus Section Syllabus
Sr Seminar Data Intl&Bus Analy Erdal Asker, Ph.D. Carrollton 01D external Syllabus via Concourse External Resource
Spring 2025 Semester
Course Title Instructor Campus Section Syllabus
Business Analytics Capstone Michael Sinkey, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource