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

4.4
stars
153 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 (MS-DS) program. Logo courtesy of Dan-Cristian Pădureț on Unsplash.com...

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.

DA

Aug 1, 2022

Perfect refresher course, gradually increasing in complexity and workload but James make the connections to previous content clear all the way. Highly recommended course!

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26 - 48 of 48 Reviews for Essential Linear Algebra for Data Science

By Elena K

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Dec 6, 2022

Great review of the essential linear algebra! Thank you!

By uk3578

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Oct 13, 2022

Loved it! Covered a lot in an efficient manner.

By Pallabi C

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May 19, 2022

Please provide proper solns to all assignments

By Jess R

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May 29, 2024

James Bird is an excellent teacher.

By Jolanta C

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May 25, 2022

great course, highly recommnended

By Jason D

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Jul 9, 2022

Excellent class for review!

By Bouifden r

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Oct 25, 2022

thank you very much.

By Philip R

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Mar 10, 2023

Great instructor!!!

By Hoyeon K (

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Aug 2, 2022

Very helpful

By Preethi S

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Nov 23, 2022

Very useful

By 727823TUIT137 N B

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Sep 7, 2024

good

By Emmitt M

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May 17, 2023

Definitely not an introductory course, but a great high-level overview of LA. If you are new to LA, I highly recommend watching the 3Blue1Brown LA series on YouTube followed by Khan Academy's LA series. THEN tackle this course. Overall though, it was a great delivery and truly is the essential LA concepts needed for Data Science.

By Allison S

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Apr 27, 2023

A good overview, but could have used a bit more information. I had to look up some concepts for myself in order to really understand it.

By Khoa P

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Feb 7, 2023

It's ok, not phenomenal

By Paul J

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May 30, 2024

Loved the content. The quizzes had good questions but the answer fields were incorrect and forced me to resort to listing one or two variables, etc. just to pass.

By Donovan A

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Jun 27, 2022

quite a short course. goes slowly so good for beginners actually. quite a few errors in course and some topics dont flow properly. not the best.

By Regan B

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Dec 5, 2022

I wish there was more practice for the topics and the discussion is not moderated so no one was able to get their questions answered.

By Paul O

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Oct 22, 2023

The course started out great. The instructor was very good and he explains things very well. However, starting in Week 4 I was disappointed with the content. Two videos were dedicated to the manual calculation of determinents. But when teaching Eigenvalues, he showed us how to caculate them using the determinant, but does't cover the reason why the determinant was used. Also, he shows us the Matrix formula for least squares, but doesn't even try to explain why it works. The target audience being Data Scientists or potential Data Scientists would probably appreciate covering those questions. I get very little satisfaction from using and applying formulas that I don't understand.

By MARC B

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Apr 4, 2024

Overall a good course, but misses out a lot of information, leaving the learner not fully understanding why certain concepts are relevant. Additionally, there are bugs in the quizzes, some of which have been highlighted in the forum years ago, but have not been amended.

By Chris B

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Jul 13, 2022

It's very hard without a textbook. Some of the videos were insufficient to mastery of the subject. I did fine but others may struggle worse than me.

By Adam G

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Jul 21, 2023

I definitely do not recommend this course. I took it as a refresher since I took linear algebra 5 years ago in college. Had it not been for little bit I remembered, and many youtube videos that I sought out, I would have gone through this entire course without understanding what anything actually meant. There is zero description of applications and barely even any definitions. The professor basically just gives you the recipe to get the solution to small arbitrary sample problems and that's it. Also, the moderators, TAs and professor for this course are completely inactive so nobody asking questions in the discussion board is getting help unless it's from another student. The professor actually doesn't even teach at CU Boulder at all anymore. I am considering pursuing an online MSCS at CU Boulder but this course is honestly making me rethink it. I really hope this is just an anomaly for the university.

By Enrique Z H

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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 zefs o

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Dec 22, 2023

not true answer