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College of Science

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.

Continue to Registration.

TermCRNSecCrP/NInstructorTypeStatusCapAvailWL CapWL Avail
Sp25533784003StaffOnline Open151555
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 department to request syllabus.
Sp25546154013StaffOnline Open25251010
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 department to request syllabus.
Find textbooks for ST 538 at the OSU Beaver Store (current term only). For questions related to course materials, contact the OSU Beaver Store.

Legend
= Signifies the course as a Baccalaureate Core Course.
= Signifies that fees may apply to the course.
+ = Include restriction.
- = Exclude restriction.
* = Prereq may be taken prior to or simultaneously with this course.