The course is good. Unlike the previous courses I took in this track, there was almost no interaction in the forums and also no-one to give feedback. I wonder if there were any TA's present in this run.

This course should be targeted for Data Scientists, in my opinion it is more for statisticians.

Too much about the insight of statistics and some but not enough about how to use the statistic tools.

A good (although slightly frustrating) course, attempted once but had to come back after studying the material in class, quite a heavy course if you've not been taught regression before

Given the importance of this subject, this course should have been split in two or more or have a longer duration to properly address subjects as GLM or model selection techniques.

This course is better than Statistical Inference, and I think it is as useful. Non credit excersise are still very good at helping with understanding in practice what is going on.

Useful class, but the content often simple in nature was explained in a confusing/complicated way. But the material is important and there is purchase for taking the class

These videos are better than the previous ones in this specialization but it gets too repetitive and long and boring. The swirl activities are the way to go!

The material was a little disjointed and not always explained with examples. Passing this course required a significant amount of outside study and research.

This is a decent class, covering linear regression and a few of its variants in good detail. It's a challenging subject, but presented acceptably here.

Lots of material needs additional study (from different sources) as it's only summarily explained. Much math without the link to the praxis :-(

The content was exposed in a very confused manner. I did not like how the teacher explained. It seemed more difficult than it really is

Starting from the first week swirl practice, course content is poorly organized making even simple concept difficult to understand.

I find it very tough to understand everything. Buying the course book helps to overcome this. You have to dedicate a lot of time.

Lots of math, but it would be more productive to focus more on the output of R and better understand the results

Bad audio and video quality. Too fast on some complex ideas and too slow when come repetitions between videos...

I think this course needs more emphasis on practical applications and less mathematical background.

Very interesting course, yet course content could be spread more evenly (week 4 is really a lot)

Course has more theoretical concept than application.. It has to be more application based

I think a revamping of the concepts in a more ellabroate way is required in the course

I did find it difficult to follow and understand some of the materials.

Many things are not clear enough in multivariable regression part.

good quick overview, could have more actual R examples in lectures

Topics like logistic regression were not explained clearly

I learned a lot, but it was so much content for 4 weeks!

Expects a level of statistical knowledge already.