Advertised as 'level 1' but this course requires quite a lot of Python knowledge. It's prerequisites really should be more clearly outlined. I started this course 6 months ago, stopped to take the recommended Python courses--which I did--but it's still not enough to understand the Python applications in this course. Instructions need to re-write the prerequites of this course because it's misleading as it is.

It was irrelevant and contained unnecessary content. Why are we drowning in theoretical statistical topics instead of focusing on Python? Thus far, the course has been more about statistics than actually working with Python! I am here to address my statistical needs using Python, not to become an expert in statistics. Unfortunately, this course seems to be doing just the opposite.

The theory taught in the course in the videos is very basic, but the lab modules expect an advanced understanding of Python and statistical concepts. It would help to have some videos to explain how to engage with the lab modules and also some videos and resources that explain the various commands and concepts used in the lab modules.

The ads is misleading and inaccurate! Most of course is delivered by undergrad students without any in-depth explanations and they literally skim read the contents for you! Nothing special! The name of UoM fooled me to register! However, No professor at UoM is teaching this cheap course.

sampling distribution had too less examples but showed teachers face a lot

The statistics concepts are thoroughly explained, however the course lacks in explaining how to work with Python. In the labs you can see a bunch of code which is not explained in any way.

My final course certificate not received, even after completing all 3 courses.

Very bad course

do not waste your time

didn't learn anything

NOT for beginners!

Too boring.