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Course Description

This course is an introduction to different aspects of data science. The focus is on data collection and management and then applying data analytics, statistical and machine learning models on the collected data. The topics of the course include big data, data models, distributed computing, regression and statistical analysis, neural networks, support vector machines, scalable machine learning models, basics of natural language processing, recommendation systems, and analyzing social graphs. All these topics will be discussed at the introductory level.

Notes

On-campus exam requirement: Beginning Winter 2023, your final exam will be written in person at the Toronto Metropolitan University campus. If you live more than 100 km from the TMU campus, you may arrange to write your exam off-campus using an approved off-campus invigilation service. Details on your exam date and how to arrange off-campus invigilation can be found on the Exams for Online Courses webpage. 

Requisites

Prerequisite: CCPS209 and CMTH380 or CPS209 and MTH380

 

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Course Sections
Class Number
1944
Type
LEC
Days
T, Th
Time
6:00PM to 10:00PM
Dates
Jun 20, 2023 to Aug 01, 2023
Schedule
Contact Hours
52.0
Location
  • Online
Delivery Options
online  
Fees
Domestic Fee non-credit $885.29 Click here to get more information
Domestic Out of Province Fee non-credit $0.00 Click here to get more information
International Fee non-credit $0.00 Click here to get more information