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Essential Linear Algebra for Data Science

Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you...

By James Bird on Coursera

About This Course

Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Linear Algebra that you will need for a career in Data Science without a ton of unnecessary proofs and concepts that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Linear Algebra. This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of Dan-Cristian Pădureț on Unsplash.com

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Frequently Asked Questions

How much does Essential Linear Algebra for Data Science cost?

Visit the Essential Linear Algebra for Data Science course page for current pricing and available discounts.

Who teaches Essential Linear Algebra for Data Science?

Essential Linear Algebra for Data Science is taught by James Bird, University of Colorado Boulder.

What skill level is Essential Linear Algebra for Data Science for?

This course is designed for all levels learners.

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Students0
DurationSelf-paced
LevelAll Levels
Languageen
PlatformCoursera
InstructorJames Bird