Course Schedule
BUSA 3132 01 —
Fndns of Business Analytics II
CRN 50585
3.0 credit hours
This course emphasizes basic concepts and techniques of predictive and prescriptive analytics. Analytical techniques may include regression analysis, forecasting, decision theory, and optimization models. The course will approach analytics from the perspective of solving problems using computer-based analytical tools on data and models from a variety of business disciplines. Emphasis will be on the interpretation of the analytical results and how business analytics are used to improve outcomes. Prerequisite(s): Completion of BUSA 3131.
Course Details
| College |
Business |
Instructor |
Wang, Xinfang |
| Location |
Online Course |
Seats Available |
Full!
(55 / 50)
|
| Instructional Method |
Entirely at a distance
This course is delivered 100% through distance education technology. No visits to campus/designated instructional site are required.
|
Waitlist Available |
No Waitlist Available
|
| Schedule Type |
Asynchronous Instruction
Asynchronous Course: Instruction delivered online without specified meeting days, times, or location.
|
Material Cost |
N/A |
| Semester |
Summer 2025 |
University Store |
Online
|
| Term |
Minimester I |
Course Fees |
N/A
|
Meeting Times
| Dates |
Days |
Time |
Building |
Room |
| May 19 - June 20, 2025
|
- |
-
|
- |
- |