Spring 2025
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3510. Business Data Analytics I
3.00 credits
Prerequisites:
Grading Basis: Graded
Presents essential data analytics topics. Covers basic programming logic and techniques necessary for developing business data applications. The course will also cover topics related to data preprocessing and data cleaning with a light introduction to data mining and visualization techniques. Cannot be used to fulfill Analytics and Information Management (AIM) major requirements. Offered only at regional campus locations.
Last Refreshed: 20-DEC-24 05.20.17.275138 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1253 10497 1 331 | 331 | 10497 | Kingham, Ryan | 10/10 | Reg | Online Asynchronous | |
| 1253 10498 1 701 | 701 | 10498 | Kingham, Ryan | 10/10 | Reg | Online Asynchronous | |
| 1253 10499 1 881 | 881 | 10499 | Kingham, Ryan | 10/10 | Reg | Online Asynchronous |