Ecampus fact
Ranked top 10 in the nation
Ecampus earned a top 10 ranking for the seventh year in a row on a list of America’s best online bachelor’s programs.
Ecampus Schedule of Classes - All Terms
ST 566 – Time Series Analytics (3)
Focuses on statistical and analytical tools for analyzing data that are observed sequentially over time. Specific topics can vary term to term, and could include methods for exploratory time series analysis, linear time series models (ARMA, ARIMA), forecasting, spectral analysis and state-space models. The focus will be on applied problems, though some mathematical statistics is necessary for a solid understanding of the statistical issues. This course is designed for students in Data Analytics MS and Certificate programs. 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.
Continue to Registration.
Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
---|---|---|---|---|---|---|---|---|---|---|---|
W21 | 36409 | 400 | 3 | Mondal, D. | Online | Open | 60 | 26 | 10 | 10 | |
Registration Restrictions Enforced Prereqs: ST 516 [C] and ST 517 [C] and ST 518 [C] Level Limitations: +02 (Graduate) | |||||||||||
Class Notes: Online section. | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. |
Features and Navigation
Academic calendar
Currently it's winter term. See academic calendar for our quarter term schedule.
Spring term starts March 29.
Summer term starts June 21.
Ranked top 10 in the nation
OSU Ecampus earned a top 10 ranking for the seventh year in a row on a list of America's best online bachelor's programs. Learn more »