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3511. Business Data Analytics II
3.00 credits
Prerequisites: OPIM 3510 or equivalent; open to business majors of junior or higher status, others with Dept. Head consent. Not open to students who have passed or are taking OPIM 5604. Cannot be used to fulfill Analytics and Information Management major requirements.
Grading Basis: Graded
Presents data analytics principles and state-of-the-art data mining software, with an emphasis placed on applications in business. The course provides an introduction to a variety of statistical techniques and algorithmic principles used in data mining. Various data mining procedures will be discussed and subsequently implemented using state-of-the-art analytics toolsets. 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 12200 1 331 | Spring 2024 | Waterbury | Online Asynchronous | Garg, Anan | 331 | Reg | No Room Required - Online | 2/10 | ||
1243 12646 1 701 | Spring 2024 | Hartford | Online Asynchronous | Garg, Anan | 701 | Reg | No Room Required - Online | 8/10 | ||
1243 13093 1 881 | Spring 2024 | Stamford | Online Asynchronous | Garg, Anan | 881 | Reg | No Room Required - Online | 8/10 | ||
1248 10212 1 301 | Fall 2024 | Waterbury | Online Asynchronous | Garg, Anan | 301 | Reg | No Room Required - Online | 1/10 | ||
1248 10213 1 701 | Fall 2024 | Hartford | Online Asynchronous | Garg, Anan | 701 | Reg | No Room Required - Online | 7/10 | ||
1248 10214 1 801 | Fall 2024 | Stamford | Online Asynchronous | Garg, Anan | 801 | Reg | No Room Required - Online | 7/10 |