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Prerequisites: OPIM 5604 or BADM 5604; and OPIM 5272.
Grading Basis: Graded
In-depth, hands-on exploration of various cutting-edge information technologies used for big data analytics. The first half focuses on using big data management techniques for ETL (extract-transform-load) operations. The second half focuses on using big data analytics tools for data mining algorithms such as classification, clustering, and collaborative filtering. Extremely hands-on, requiring students to spend significant time working with large datasets. Students are expected to have taken at least one course in data modeling and one course in data mining (please see pre-requisites) or have significant related work experience. Students should expect to become familiar with the Unix operating system, as well as data programming concepts. Students may be required to install some software on their computers on their own, with very little support, if any, from the instructor or anyone else. Students should be willing to troubleshoot any issues during installation, drawing help from Google searches.
Last Refreshed: 28-NOV-23 05.20.10.452462 AM
|Section||Class Number||Notes||Instructor||Enrollment||Term||Session||Instruction Mode|
|1233 10996 1 MS40||MS40||10996||Please refer to the MBA schedule on the website www.business.uconn.edu for specific dates and times.||Wanik, Dave||49/60||Spring 2023||Reg||Online|