Ecampus Schedule of Classes - All Terms

College of Business

BANA 572 – Data and Text Mining (3)

Examines how data/text analysis technologies can be used to improve decision making. Covers the fundamental principles and techniques of data mining, text analysis, and uses real-world examples and cases to place data-mining techniques in context. Provides hands-on experience with data/text mining software. 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
Sp23602784003Rizk, Z.Online Closed25-500
Registration Restrictions
Enforced Prereqs: (BA 574 [C] or BANA 570 [C] ) and (BA 575 [C] or BANA 571 [C] )
Major Restrictions: +2047, +2059, +CG14 (Marketing Insights and Analytics, Business Analytics, Business Analytics)
Campus Restrictions: +DSC, +PDX (Dist. Degree Corvallis Student, Oregon State - Portland)
Class Notes: Does not meet Graduate School's stand-alone requirement. This course requires online proctored testing, which may include testing fees and the use of security measures, such as a scan of your testing environment. Please carefully review online proctor test information at: https://ecampus.oregonstate.edu/services/proctoring .

Textbooks  [ Textbooks]

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.)
Find textbooks for BANA 572 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.