Chevron Left
Back to Essential Linear Algebra for Data Science

Learner Reviews & Feedback for Essential Linear Algebra for Data Science by University of Colorado Boulder

4.4
stars
161 ratings

About the 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 (...
...

Top reviews

TA

Aug 11, 2022

It is a very informative course, and the coach made it simple and enjoyable.Thank you, Dr. James, for your innovative explanation of the material.Take this course and do not hesitate.

AR

Feb 10, 2024

it was tough and challenging. online learning is so much different from in person. thanks for walking though all the examples step by step with much patience

Filter by:

51 - 52 of 52 Reviews for Essential Linear Algebra for Data Science

By Enrique Z H

•

Mar 14, 2024

The course is a very brief overview of some basic linear algebra concepts as well as a bunch of examples and how to solve them manually, however there's really no context as to why these concepts will be important in Data Science. The whole course can be completed in 8 hours. Exams/quizzes are extremely easy and doesn't do a good enough job of testing mastery of the knowledge presented during the course.

By Deleted A

•

Dec 22, 2023

not true answer