Description

This course introduces Business Analytics students to modern methods used for creating, accessing, handling, processing, analyzing and presenting data from a variety of sources. This course emphasizes a hands-on, practical approach to data analysis with SAS, an industry-standard data intelligence software package available for MS Windows, Linux, and UNIX and other operating systems.

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

Semesters

Fall 2025 Semester
Course Title Instructor Campus Section Syllabus
Business Analytics Programming William Smith, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource
Business Analytics Programming William Smith, Ph.D. Distance N01 external Syllabus via Concourse External Resource