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3510. Business Data Analytics I
3.00 credits
Prerequisites: OPIM 3103 or equivalent; open only to business majors of junior or higher status, others with the consent of the OPIM Department Head. Cannot be used to fulfill Analytics and Information Management (AIM) major requirements.
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: 28-MAR-24 05.20.12.635703 AM
Term | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Location | Enrollment | Notes | |
---|---|---|---|---|---|---|---|---|---|---|
1243 12199 1 331 | Spring 2024 | Waterbury | Online Asynchronous | Wanik, Dave | 331 | Reg | No Room Required - Online | 7/10 | ||
1243 12645 1 701 | Spring 2024 | Hartford | Online Asynchronous | Wanik, Dave | 701 | Reg | No Room Required - Online | 10/10 | ||
1243 13092 1 881 | Spring 2024 | Stamford | Online Asynchronous | Wanik, Dave | 881 | Reg | No Room Required - Online | 8/10 | ||
1248 10209 1 301 | Fall 2024 | Waterbury | Online Asynchronous | Kingham, Ryan | 301 | Reg | No Room Required - Online | 6/10 | ||
1248 10210 1 701 | Fall 2024 | Hartford | Online Asynchronous | Kingham, Ryan | 701 | Reg | No Room Required - Online | 10/10 | ||
1248 10211 1 801 | Fall 2024 | Stamford | Online Asynchronous | Kingham, Ryan | 801 | Reg | No Room Required - Online | 8/10 |