This course requires a lot of practice to be able to solve the project. Overall, i feel the practice was a bit less and the final project required a steep learning curve

Excellent Lecture + good support from mentors (Patrick, the only one?). However, the final project's description is quite obscure, I have to rely heavily on owl-test.

The final project was demanding not due to programming, but due to the idea of "code refactoring" and unclear dependencies on csv files.

more so a data management and cleaning course rather than an actual analysis course. Was expecting more statistical analysis computation

This course is good and the instructors way of teaching is quite attractive and interactive. I have learnt a lot during this course.

A tough course (not for the fainted of heart). I love baseball and the application of the baseball data is useful for me !

Overall, this is a great course, However, used baseball as the theme of the final project is really not a good idea!

Instructions on the final were not as clear as the rest of the course, but the information given is worthwhile

GOOD COURSE, MAKES BASIC AS WELL AS ADVANCE CONCEPTS CLEAR, VERY DETAILED TAKES MORE THAN A MONTH TO COMPLETE

Thank you for such a great course. However, the project descriptions were too long and hard to understand.

Project assignment was somewhat hard to follow and test as the real input was not clear.

This course is great one to provide you the fundamental concepts of python scripting.

need more practice exercises, but very good course overall

this is quite difficult and very hard than the last one

Thank you for the unlimited effort that you provided.

Last signature was a little confuse

I feel like this course needs a lot of polish. The practice assignments in particular are riddled with horrible grammatical errors that make it hard to figure out what is being asked of you, especially when the author seems to be trying to be overly concise in their explanations. There's also too much reliance of documentation research. It felt like every assignment just told me to read page after page of documentation and figure out what parts were relevant on my own. Documentation research is obviously an important skill, but telling a student to learn an entirely new skill like color mapping based purely on documentation, and not telling them what parts of the documentation to focus on verges on cruel. I've never felt as frustrated with an assignment as I did with several in this course. The way the assignments were designed also made them very hard to test. The disconnect between the practice assignments and the graded assignments also caused a lot of issues with regards to flow. It feels like two courses were smashed together, one of which was fairly well built, the other of which was very much not.

My comments mostly pertain to the practice assignments. I thought the graded assignments were pretty good.

I brought prior basic knowledge of python which I think helped a lot completing this course. It is definitely challenging, but one learns a lot if you are willing to do your own research. The whole specialization works with videos, personally I prefer getting a bit of text, too. But this is personal preference. Only the final project - I don't know what they were thinking. It is overly complicated and the descriptions could have been a lot clearer. I'm not sure the course adequately prepares for this. Do your research on the discussion forums, otherwise you might have a hard time. Because of how the project is conceptualized, I feel like I can't really add it to my portfolio, which is really a pity.

The course is really fruitful. It covers everything I needed. What didn't work well for me was the last assignment.

A project with baseball theme isn't really a good idea, at least for me !

But i really enjoyed the course ! Thank you for this opportunity and for your efforts.

A found this to be a very basic course. Not much in the way of analysis. Mostly just contorting lists / dicts / tuples. Would have preferred getting int Pandas / Numpy and other tools for actually analysing the data. A bit misleading, to be honest.

Could use a bit more explanation on some parts since visualization of e.g. dictionaries can be a bit tedious.

Otherwise good.

Best Course on CSV handling ,we also have move fexibility with file handling with panda looking for course on that

Course content is very less. Better if detatiled explanation provided for each topics.

A very sharp combination of the basics on lectures and algorithms in practice.

its rushing,concepts are not fully explained to a beginner