Course description

Students learn concepts and techniques for data mining. Methods for the application of various probability distribution techniques are used to evaluate the probability of real world events. Students learn about logistic and multiple regression and how that is used in making predictions. Pattern evaluation methods are explored for marketing data.

Course details

Hours: 42
Credits: 3
Prerequisites: OLRN1504
Corequisites: None

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This course is part of the following program(s):


Credit transfer

Have you taken this course or an equivalent course? Contact the Credit Transfer Office.

Registration dates

Not all courses are offered each term.

Fall 2022 registration opens July 25, 2022. Winter 2023 registration opens November 28, 2022.

Delivery options

In person: classes held in person on a campus/site in a classroom/lab/shop/studio for the course duration

Online - Asynchronous: ​100% online delivery with no assigned day or time requirements, independent course completion

Online - Synchronous: 100% online delivery with scheduled day and time course requirements

Hybrid: any combination of: in person, timetabled, on campus, online, and hyflex delivery