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FULL-TIME | WINNIPEG LOCATIONS DATSF-DP Data Science and Machine Learning

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Overview Admission Requirements English Language Assessments Who Should Enrol? Locations, Dates and Fees Courses and Descriptions CO-OP/Practicum Information Computer/Laptop Requirements Recognition of Prior Learning Awards and Scholarships Graduation Requirements

MATH-1204Linear Algebra for Data Science and Machine Learning

This course is a gentle introduction to the topics of linear algebra. Students begin with a review of foundational concepts in algebra and graphing linear equations before moving on to the core topics of geometry, vectors and matrices. By the end of this course, students will understand how vectors can represent data, and how matrix operations and are used to manipulate this information and obtain results. 
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