Exploratory Data 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: CMPT 1011, MATH 1205, STAT 1151 Restricted to Machine Learning Analyst

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 1011, MATH 1205, STAT 1151 Restricted to Machine Learning Analyst


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

Machine Learning Analyst

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