Description

This course focuses on the fundamentals of Data Science methods to extract nontrivial, previously unknown, and potentially useful information from databases. It covers data exploration and preparation, data visualization, and computing with data using machine learning algorithms for tasks such as classification, clustering, and outlier detection in structured datasets, along with model evaluation techniques.



Requisites

  • Complete the following:
    • CS2040 - Algorithms I (3)
    • CS2910 - Introduction to File and Database Management (3)
    • MA1200 - Linear Algebra I (3)
    • ST2520 - Introduction to Applied Statistics ll (3)

Course Timetable

A3

Tue, Thu from 11:30 to 12:50

Jan 6 2025 - Apr 23 2025

Grande Prairie Campus

Room B201

Instructor

Closed: 20 of 20 spots filled

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A3

Fri from 10:00 to 11:20

Mon from 11:30 to 12:50

Jan 6 2026 - Apr 23 2026

Grande Prairie Campus

Room G111
Room G111

Instructor

Closed: 20 of 20 spots filled

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L1

Thu from 15:00 to 17:50

Jan 6 2025 - Apr 23 2025

Grande Prairie Campus

Room A307

Instructor

Closed: 20 of 20 spots filled

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L1

Thu from 14:30 to 17:20

Jan 6 2026 - Apr 23 2026

Grande Prairie Campus

Room G111

Instructor

Closed: 20 of 20 spots filled

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Course Outlines

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