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ST 538 – Modern Statistical Methods for Large and Complex Data Sets (3)
Provides students with the tools and experience to analyze big and messy data and work effectively in a data science team. Covers the tools to handle big data and answer statistical questions based on the data. Includes three big data analysis projects that students work on in groups. Focuses on proper use of modern data analysis techniques related to regression, classification and clustering for data coming from a variety of application fields. R will be the lingua franca. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.
For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.
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Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
---|---|---|---|---|---|---|---|---|---|---|---|
0 | 53378 | 400 | 3 | Rott, K. | 0 | TBD | 15 | 15 | 5 | 5 | |
Registration Restrictions Enforced Prereqs: ST 512 [C] or ST 517 [C] or ST 552 [C] or ST 412 [C] Major Restrictions: -6160, -CG17 (Data Analytics, Data Analytics) | |||||||||||
Class Notes: Data Analytics majors should register for section 401. | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.) | |||||||||||
0 | 54615 | 401 | 3 | Rott, K. | 0 | TBD | 25 | 25 | 10 | 10 | |
Registration Restrictions Enforced Prereqs: ST 512 [C] or ST 517 [C] or ST 552 [C] or ST 412 [C] Major Restrictions: +6160, +CG17 (Data Analytics, Data Analytics) | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.) |
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Currently it's fall term. See academic calendar for our quarter term schedule.
Winter term starts Jan. 6, 2025.
Spring term starts March 31, 2025.