Course Description
This course is an exploration of business analytics, designed to follow BUS/ST 350. It emphasizes practical application of statistical methods and the use of software tools to inform and drive strategic business decisions. Students will delve into a comprehensive curriculum that includes data management, visualization techniques, regression analysis, forecasting, supervised learning, and clustering analysis, with a special focus on machine learning and artificial intelligence applications in the business context. Through hands-on projects and case studies, participants will learn to leverage analytics for impactful outcomes, preparing them for complex challenges in a dynamic business environment.
Fall 2024
Instructors
Meeting Patterns
Classes Start:
August 19, 2024
Classes End:
December 3, 2024
Location:
0G411 Nelson Hall
Class Days:
M W
Class Start Time:
3:00pm
Class End Time:
4:15pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisites: BUS 340 and (BUS/ST 350, or ST 312, or ST 370, or ST 372); Corequisite: ST 307 or ST 308
