It's clear that a good bit of thought and effort went into putting the course together, but it seems unfinished.

The autograder system on the programming assignments in the three University of Colorado Boulder statistics courses that I've enrolled in is like something from a Kafka novel. It does not provide feedback on which questions it's marking incorrect, and Jupyter notebooks are unreliable in their rention of updates. That can compound with errors in the assignments themselves and a nearly deserted discussion forum for a really rough time.

There's not enough student course work to make me confident in my mastery of the material or in the retention of it.

It would be nice to have some reference material other than the lecture slides.

It's not particular to this course, but there are a lot of irritations with the Coursera UI. (For example, I would like to access the course while writing this review to confirm that my comments are accurate, but that's not easy to do.)

Better than the previous course in the series but in the context of data science I still think we spend way too much time proving equations and doing unnecessary math. In my humble opinion, one should remember who the audience is when designing a course. There's useful content for data science folks in this course but it is almost buried in excessive theoretical discussions that would be perhaps more appropriate for statisticians.

In-depth course on Hypothesis testing. Course instructor is quite engaging.

Probably the best course I've taken on coursera so far. It might be even an actual university level course. Be careful this course is using a lot of math. Overall the course is very entertaining and fun and the teacher is just amazing I think I would fall in love with her. A lot of things are actually mathematically derived and explained which is cool (and since you have gone this far you might as well prove everything in some "honorable students" section or smth, but you can always find some mathematically heavy proofs in books on the internet).

Great course, challenging quizzes. Labs and programming assignments are really helpful, especially the one on Wilks theorem, I really liked that one.

The Teacher is awesome. The course content is also very interesting. A nice trip

Loved the material. Content looks quite convincing and well explained!

Good balance between theory and practices. Great teacher

GREAT COURSE WITH GREAT THEACHERS

Jem Corcoran is the Best Teacher!

Some unclear instructions in labs

excelentes aplicabilidades

Jem es una gran docente!

very nice course!

The course content is good and presentet in a very sympatic manner. But there are quite a few mistakes in the slides and in the videos, which makes it harder to follow

coursera classes can be rough and maybe even a little bit buggy it's loaded with good knowlede tho. the professor is great!