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

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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.


Delivery Options

Classroom Delivery: In-person instruction that takes place at a college campus.
Online Delivery: Content is delivered entirely online through self-directed components, allowing you the flexibility to learn anytime from wherever you are.
Remote Delivery: Technology-enabled virtual instruction that takes place outside of a physical classroom. Remote delivery includes some form of scheduled real-time virtual classes or drop-in times, as well as self-directed components.
Hybrid Delivery: Instruction that includes a combination of online or remote delivery, and some classroom activities.

Registration dates

Not all courses are offered each term.

Winter 2022 registration opens November 1, 2021. Spring 2022 registration opens February 7, 2022.