Materials need to be updated - there are way too many inconsistencies between videos, exercises, and slides.

Too much concepts to learn and practice. Course material can be little more engaging and split accordingly.

Very difficult lectures. You need a solid statistical background to keep up with the pace of the professor.

The ideas and concepts explained here are really important but are explained/written in a bit messy manner.

lectures notes is not details enough, had to google around other materials to grasp the courser work better

It covers a lot of topics, good for that but submitting assignment via Swirl is extremely boring.

This is module where I have learn less. Instructor also was not dynamic as previous ones.

Too bad it all starts from mathematical theorey; I would prefer a problem based approach.

Very detailed and a little painful :) but I am sure it will be useful information

These are complex topics, and just the quick overview doesn't fully explain them.

Not one a statistics newbie should take, had to take it twice just to grasp 80%

Content runs a bit fast but good course for stat inference with R focus.

The materials are not so clear to someone who's not familiar with stat.

Concepts weren't explained properly. The instructor was going too fast.

It's quite involved, fast and not explained thoroughly in some places.

Unfortunately, the manner of presenting information desires the best.

Steep Learning Curve. Swirl exercises are important for this course

Less good than expected. Explanations could be more clear.

I don't like the example and the explanation at all.

Great material, but could be better organized.

really bad review criteria for grading peers.

Heavy content to cover in such a short time

Most lessons lack clarity. very evasive

The stuff is very high leveled for me.

Would be better if taught with Python