-no explanation on errors

-too theoretical and abstract with lack of examples and own practice

Could have been more advanced from the perspective of practical use-cases of data modeling.

The course is a bit too introductory for me. I'm looking for more challenging material.

most contents are explicit on ppt, it is sometimes not necessary to view the lectures.

Felt like it could have been a little more plain....less theory, more application.

Lots of information, not much opportunity to apply practical usage to the theories

Content is good but the teacher is extremely boring. Had to struggle to finish it.

My name was spelled incorrectly on my certificate, how to do I correct this?

I would have liked the quizzes to explain why an answer was right or wrong.

good course, quizzes should not be locked though...disappointed with that.

I think the contents of this course can be more difficult and challenging.

It was an interesting module, however, not sure how I will apply this in

Very basic things that any person with a stats background should know

Not that enjoyable. Decent information but pretty boring to watch.

It should be more rigorous. I completed this course in three days.

a bit too simple, I would have expected more practical excersises

Nice, course - could spend more time on practice and examples.

too easy. not enough practical skills or tools teaching

There should be lab or hands one calculation exercise.

It was theoretical but provided an apt understanding.

Questions with actual raw data would be helpful.

More reading about theory than actual doing.

Too fundamental, too easy. No depth in math

I already knew most of the topics taught.

Could have added more about monte carlo