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Ecampus Schedule of Classes - Fall 2025

College of Engineering

CS 332 – Intro to Applied Data Science With Programming (4)

Explores the data science life cycle using appropriate Python libraries. Topics include current data science areas, data gathering, cleaning, formatting, and types, an introduction to supervised (decision trees) and unsupervised (clustering) learning, exploratory data analysis, data communication, decision science methodologies, storytelling, and narratives in data science. 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
F25198654004Gates, A.Online Open12212200
Registration Restrictions
Enforced Prereqs: CS 261 [C]
Major Restrictions: +307 (Computer Science)
Recommended: MTH 252 or MTH 264 and Python
Campus Restrictions: +DSC (Dist. Degree Corvallis Student)
College Limitations: +16 (Engr)
Class Notes: Campus restrictions for this section end Monday of Week 10.This course requires online proctored testing, which mayinclude testing fees and the use of security measures, suchas a scan of your testing environment. Please carefullyreview online proctor test information at:https://ecampus.oregonstate.edu/services/proctoring .

Textbooks

Syllabus: Available in Canvas to students enrolled in this course. Computer Science syllabi may also be found on the College of Engineering Course and Syllabus List.
Find textbooks for CS 332 at the OSU Beaver Store (current term only). For questions related to course materials, contact the OSU Beaver Store.

View CS 332 for all available terms


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.