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Data Preparation Analytics - CMPT 2400

This course introduces students to methods for gathering, exploring, analyzing, and presenting data. Students will learn how to effectively organize data and transform it for use in machine learning and analytics. The course covers the application of statistical analyses, including averages, standard deviation, histograms, distributions, and more. Students will explore software that can be used to gather, sort, analyze, and visualize data.

Note: Prerequisites: A minimum grade of C in CMPT 1510, MATH 1205, STAT 1151, CMPT 2021 Restricted to Machine Learning Analyst, Arts and Sciences, and Open Studies


Term Duration Schedule Class Section Open Studies

Edmonton
Fall Sep 3 - Dec 20, 2024 Tue, Wed: 02:00 - 03:30 pm
 40402 A01 No
Fall Sep 3 - Dec 20, 2024 Tue, Wed: 12:30 - 02:00 pm
 40406 A02 No
Winter Jan 6 - Apr 25, 2025 Mon, Wed: 03:30 - 05:00 pm
 10362 A01 No
Winter Jan 6 - Apr 25, 2025 Wed, Fri: 03:30 - 05:00 pm
 10366 A02 No
Term Duration Schedule Class Section Open Studies

Edmonton
Fall Sep 3 - Dec 20, 2024 Tue, Wed: 02:00 - 03:30 pm
 40404 H01 No
Fall Sep 3 - Dec 20, 2024 Tue, Wed: 12:30 - 02:00 pm
 40408 H02 No
Winter Jan 6 - Apr 25, 2025 Mon, Wed: 03:30 - 05:00 pm
 10364 H01 No
Winter Jan 6 - Apr 25, 2025 Wed, Fri: 03:30 - 05:00 pm
 10368 H02 No

To take this course, you must be enrolled in one of the related programs:

Arts and Sciences Diploma Machine Learning Analyst Open Studies

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