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.)

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).

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

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

GREAT COURSE WITH GREAT THEACHERS

excelentes aplicabilidades