Advanced Statistics for Data Science

Code: OLRN1509

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

Please note: This course is offered through OntarioLearn. To review important information such as textbook, exam and grade information, visit the OntarioLearn Information web page.

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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.

Spring 2022 registration opens February 7, 2022. Fall 2022 registration opens July 4, 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