For foundation part to data analysis and concerning about it help me in the basic understanding.

Though with the pandas library make it simple that is some sort of drawback I find.

But it make my concept clear.

Thanks for the python Data Analysis course by Rice university.

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

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

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

this is quite difficult and very hard than the last one

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.

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

Otherwise good.

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

Big disappointment after 2 previous courses. The lectures are not really giving you a lot of new material to learn but difficulty of projects you are expected to finish goes up a lot. It left me confused and frustrated. And I think I am not the only one (check on-line forum). Big plus for forum mentor who is helping a lot (he is even posting extra exercise there). And he is making a difference. Still at the moment I decided not to continue with the last course in this specialisation. Too much frustration in this one.

Final project is way more difficult than what they explain in the course.

Final project is not only difficult and long but also due to the amount of extra files and lack of explanation on how to start is very frustrating.

Some concepts like "list comprenhentions" are used by instructors in the course, but not explained and instructor just adviced to go to Python.org and learn it there.

the assignments are not clearly illustrated to us. it is very difficult to understand what is required to be done . even it you code it, it is still hard to understand what is to be done.

Focuses on Python dictionary skills and not Pandas dataframes.