Essential Linear Algebra for Data Science

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Course Features

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Duration

8 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

8 hours

Course Description

Do you have a passion for Data Science, but don't have the math skills necessary? Math has been something you have avoided because it is difficult. This course will teach the most important Linear Algebra you need to pursue a career as a Data Scientist without you having to memorize a lot of concepts and proofs that you might never use. This course is an easy way to Data Science. It uses friendly concepts and provides a clear path to understanding the most important Linear Algebra ideas.

Course Overview

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Solve real-world problems using the foundational concept of matrices and explain where those problems might arise

Recognize what a matrix represents in n-dimensional space and how transformations act in that space

Identify key properties of any system of equations, such as independence, basis, rank, and more, and what they mean for the overall system

Demonstrate your understanding of projections in lower dimensions, while being able to carry out higher dimension projections for real-world problems

Course Instructors

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James Bird

Data Science & Applied Mathematics

James Bird is the instructor for this course

Course Reviews

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