I would love to see more practical projects early on so you really remember all the functions/methods/etc.

Highly recommended for amateurs. Anyone who wants to learn Python and get into the field of Data Analysis.

Good course for beginners but i think more content should be included. It just give a touch up the basics.

Great introductory course. Wish the final project would incorporate more of what was taught in the course.

The content was good but it can always be better. It was quite easy. Exercises must be a little bit hard.

Some of the Notebook executions weren't working properly/were outdated. Otherwise, a really great course!

Good presentation of knowledge.However, it would be better to discuss more numpy functions in the videos.

The final assignment uses new tools that are vaguely explained. Well-crafted indications could save time.

good, but challenging for someone who never did any Python course. I was lucky i already some background.

Lessons are concise, labs are thorough but quizzes are basic and don't test your coding skills in depth.

it was quite a difficult course, mostly for quizes in skills network lab i usually faced alot of errors,

Some typos and there is an error in the final exam (refers to file 'readln', when it should be 'writeln'

I expected a deeper explanation on certain topics of the course, but this is a good one for basic level.

Very good crash course on python, but for more depth additional materials should definitely be reviewed.

Learn alot on this module.I hope there will be more example on some of the topics eg creating dashboard.

excelente, mi unico comentaria es que deberia estar en español la traduccion es muy inpresisa y confusa

A good intro to Python for beginners. Highlighted just the essential elements needed for data analytics

Not giving 5 stars because the last week of the course seemed bit tough for beginners. Else, very good.

Pretty good overall, some errors in the questions throughout and probably not quite challenging enough.

Great course for someone trying to understand the basics of Python along with some of its applicability

I loved the course since it had preparatory exercises which helped me to understand my learning curve.

I think the course is best but it needs to adopt some more easy examples so that a student can relate.

Should have More content on Pnadas and NumPy with a few more exercises. Love the way it is structured.

It was great. Some of labs were a little tricky and felt at times like there was jump in difficulty.

the final exam could have had more quality questions, given that the lab material was extensive enough