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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.

Requisites

Prerequisite: CCPS209 and CMTH380 or CPS209 and MTH380

 

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Course Sections
Class Number
3269
Type
LEC
Days
T, Th
Time
6:00PM to 10:00PM
Dates
Jun 25, 2024 to Aug 06, 2024
Schedule
View Details
Contact Hours
52.0
Location
  • Downtown
Delivery Options
Classroom  
Fees
Domestic Fee non-credit $886.88 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