On one hand this is a really good course and the slides are excellent and enough to teach you all you will need to know. However, the assignments are not always clear about what you should do and you may find that having the right columns in the wrong order is enough to mark you wrong. This being said, if you look at the output from the errors it will give you an indication of exactly why the test failed and what the test was actually looking for.

I learned a lot in this course. I enjoyed the homework/assessments. I do wish the assessment questions were worded a little more clearly for those of us who overthink. I found that my mistakes were often in misunderstanding what was wanted.

I found a lot of answers combing the discussion forums, but I also did a lot of outside research. YouTube helped a lot to get pandas down. Overall, I feel like it was well worth the time and effort.

It was a good class. The assignments are fairly straightforward and the videos are bite-sized so you don't have to sift through hours upon hours of video. As for improvement, I think it's more an issue with Coursera itself rather than the instructor or UPenn, but I sometimes feel like it's hard to know how much I've retained from the class.

I think this module is slightly better than the introduction as the assignments are easier and more practical. Also, the extra hints on the videos are quite helpful to explain many points that the tutor doesn't mention.

Intro to different useful and powerful library like pandas, numpy, and matplotlib.

Homework not really difficult as the course mainly teaches you how to use those library.

I'd like for this to be a little more in-depth. I had fun with the data visualisations. However, probably more of manipulating the data would be good.

Very informative course. However lessons feel more like telling than teaching. The lecturer could go more in depth.

Videos touching same theme were too short (26 sec, 1 min, etc.) and disruptive. Wish there could be more practices.

course is overall good but face some problem in understanding of homework questions, proper explanation is needed

The issure of learning the difference between dataframe and series needs to be a bit more clear in my opinion.

Good, but it is getting a bit out of date. Several of the commands in the lessons were deprecated.

Overall to the point but needs more examples, and the methodology of testing needs improvements

it would be better if sections were covered more of panda and matplotlib and even seaborn

the data summarization part was rushed through, apart from it, the course is very good

Concise review to continue learning the pandas library with some visualization tools.

Great Course! Would have liked to go even more in depth

Very good introduction to data analysis using python

Short but very informative course. I like it!

Very useful coure

Buggs

meh

Not ideal for people w/o data science background

The course is ok for a basic course.

Videos and resources were really helpful. But the HW assignments are written poorly. They include typos/ambiguities that force you to spend a lot of time trying to figure out what instructions mean vs actually learning how to code. Little things like writing "less than" when the coder really needs to use "less than or equal to" amount to time wasted that is not spent learning to code. That being said, the TA's for the course are very helpful and have answered most of the questions in the Discussions. But they should probably go back and fix the typos and inconsistencies in the wording of the homework assignments.

The focus should have been on data structures, learning to work with them more intimately, and understanding their unique uses. Creating charts and plots is a waste of time, you will never do that in real-life situations...