Course Schedule
BUSA 3131 01 —
Fndns of Business Analytics I
CRN 50583
3.0 credit hours
This course covers basic concepts and techniques of business analytics, including descriptive and predictive analytics. The course will approach analytics from the perspective of solving problems using data and analytics to achieve better outcomes. A variety of analytical techniques will be presented ranging from traditional statistical methodologies through modern analytics. Emphasis will be on the interpretation of the analytical results and how business analytics are used to improve outcomes. Analysis is done using computer-based analytical tools. Data and examples from various business disciplines will be used. Prerequisite(s): A minimum grade of "C" in MATH 1232 or MATH 1112 or MATH 1113 or MATH 1441 or a minimum grade of "B" in MATH 1111.
Course Details
| College |
Business |
Instructor |
Liu, Jun |
| Location |
Online Course |
Seats Available |
Full!
(51 / 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
|
- |
-
|
- |
- |