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ST 516 – Foundations of Data Analytics (4)
Foundations of estimation and hypothesis testing; desirable properties of estimators; maximum likelihood; one- and two-sample problems; theoretical results are explored through simulations and analysis using R. Offered via Ecampus only. 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
F25 | 12660 | 400 | 4 | Staff | Online | Open | 60 | 60 | 15 | 15 | |
Registration Restrictions Major Restrictions: -6160, -CG17 (Data Analytics, Data Analytics) Recommended: ST 351 | |||||||||||
Class Notes: Data Analytics students register for Section 401.No-show-drop. | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact department to request syllabus. | |||||||||||
F25 | 14552 | 401 | 4 | Staff | Online | Open | 40 | 40 | 15 | 15 | |
Registration Restrictions Major Restrictions: +6160, +CG17 (Data Analytics, Data Analytics) Recommended: ST 351 | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact department to request syllabus. |
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