I did not enjoy the speed of the course, the lack of consistency of assumption of what the learner knows, and the way things are explained. Its not accretive to learning, it was like a refresher course for someone with extensive understanding of related fields, and I mean extensive.

I did not enjoy this course. The videos were good but covered the material very quickly and did not leave you well prepared for the assessments. I found the assessments impossible without a lot of extra study using other materials - if this is intentional it should be made clear.

1) There are not enough examples on some subjects 2) The instructors explained the theories and intuitive behind it very well, but the exercises are sometimes too difficult 3) Coding exercises are very challenging and I'm not sure what good it could bring to my data science journey

This course does a poor job of teaching Linear Algebra, it skims through the topics and gives pretty difficult coding work with poor instruction. This course should only serve as a refresher, do not expect to learn much past the first 3 weeks.

It covers the basics, but frequently does not explain how it arrives at definitions or some steps in derivations. I spent a lot of time filling these gaps for myself using other (free) resources such as math stack exchange or Khan academy.

Unfortunately I have to unenroll from this specialization. The learning videos are not helpful if you are indeed a beginner and therefore you have to google a lot. So going through this course brought me more frustration than joy.

Not an intro course. Probably a better review course. I spent a lot of time on other web sites to get more background info to be able to do the problem sets. On the plus side, the instructors are very enthusiastic.

This course is not suitable for beginners. Topics are touch-and-go, and many LA concepts are assumed of the learner. I had to basically learn the content on YouTube and then come back to complete the assignments.

Not a great course. It started alright but really it lost track after two weeks. No references were made to the actual ML applications. This was more like a pointless Matrix knowledge.

There is hardly any relation between videos and assignments. There should be a way to let the students know the right answers after completing the course to rectify the mistakes.

It was a decent course, but the teachers weren't particularly good. I had to often rely on other resources to figure out what was going on. That kind of ruined it for me.

Not a Good Course for Biggner's. Instructor do not have ability to simply topics taught in this course. They were just copy pasting its materiel from other slides.

Instructor Taught good at the beginning till week 3, but not good after that. very disappointed. Will Never recommend any of my friend or classmate this course.

i have not learned python so i am unable to do the assignments... the classes are too good to miss a certificate, but only if i could manage the assignment...

Forums are a bit dead. Most helpful (and frequent) answers are a link to khan academy videos explaining the same thing, but better.

The final module went too fast and skipped over a lot of explanation. this really does under the good parts up to week four.

I had to go outside this course to get and understanding of what they were talking about. This could greatly be imporved!

Not nearly enough detail on the concepts. I had to watch all of Khan Academy's Linear Algebra course to understand.

Poor explanation and some assignments are challenging with no proper explanation or feedback.

No notebook appears to me in the quizicss .no one helps me in the course in this problem

I can get everything Quizzes and Tests right but I have no fucking idea what I am doing.

There are few or no worked out examples, making it hard to solve quizes.

Awful feedback and useless. Specially at the end of the course

Many parts are too obscure such as the Page Rank part.

more reading content is needed