The material is good, but the assignments are incredibly messy (perhaps that's what you're supposed to learn!): errors are never fixed, it's still using pandas 0.19 (this isn't even mentioned) and you can see the course is simply neglected.

Interesting perspectives on data from knowledgeable professionals, but lacked some hands on learning that I was expecting. Timelines to complete technical assignments were ridiculously shorter than the actual time it took to complete them.

The course was very intense as far as it is concerned with knowledge and skills but it was somewhat a little fast paced.Some of the topics in which more amount of time should have been invested was left aside as though it was a side topic.

In my opinion a basic knowledge of Python is not enough for this course. Furthermore, the video lecture doesn't really explain what is needed fo pass the assigments, the last one is even more terrible because required statistic knowledge.

Don't try this if you are not working with pandas for a while....

The course is actually overwhelming......it packs a lot if stuff without being clear about every item.....

Sometimes you just DON'T know what the speaker is talking about :(

the first , the second , and half of the tird week's content was pretty understandable , everything after should've been more detailed and simplified , the tasks were hard honestly speaking , there should have been more indications

I am not a huge fan of the way the lecturer delivers the course material as sometimes he doesn't explain why things work in a certain way but the assignments are a great way to learn pandas as they force you to search on your own.

The course and the assignments were great. Everything was fine until the auto-grader. Even after running a function and testing it on Coursera's jupyter lab, auto-grader kept throwing an exception. Please fix rectify this issue.

I finished the first two courses before taking this one but it is a blast and a big leap forward for me. Couldn't even work on the week 1 materials well. I think I will take more intro level courses before diving into this one.

I think the modules pick up a sudden pace in Week 2. The title should be changed to "Intermediate Data Science in Python" or similar :)

Alternatively, maybe this course could have a Python basics intro course as a prerequisite.

The assignments given were too difficult. Students have to spend a lot of time doing self-study and using stackoverflow. Providing basic practices for students would be much more helpful for them to tackle difficult questions.

assignments are tough and guidance is needed for them. Googling for problems takes time So , sometimes i became frustrated and shutdown my pc. Assignments are good but you need to give some hints and proper problem defenition

A good introductory course to Python.

1) The brand-new coursera jupyter notebooks are great.

2) The in-video quizzes are sometimes harder than assignments.

3) Showing two guys in the background of every video was unnecessary.

This class presents some good information, but completing the assignments takes a lot of research on your own. I would've rated this class higher if the course material provided everything needed to finish the assignments.

The overall course is okay.

The material is good, but lectures are up to the mark.

Assignments difficulty level is good and challenging, but the questions are not very clear.

Overall a good hand on experience on problems.

The course is very informative ,you will get many new things to learn but the course assignments are not easy at all apart from the first week quiz which was easy and if you have good python background then go for it.

The course is somewhat a little harder as expected...basic knowledge in python and some statistics are a pre requisite.the lecture is not as inspirational but i found the course interesting for the topic was good.

Sometimes the question are clear due to the lack of clear definitions. The assignments could be done much faster if one did not have to research the entire forum. Moreover, the autograder can be really frustrating.

Fairly fast paced. if you have just completed the Python for everybody course, you will need to do a lot of your own googling to be able to keep up with this course.

Additionally, the assignments need a little work.

worst course to start with. pissing me off at every video. not a single descriptive video. I will give 0 stars if possible. Also while submitting the assignment, there is only a single way of accepting output .

It is a good course but I would like to have the chance to test my script as soon as I am writing it, I need to have another script open in order to check if I am obtaining the solution that you are expecting.

Probably, the course can be more detailed with examples of different inbuilt functions. However, Liked the content of the course. Very helpful for people who wants to start on learning about numpys and pands.

The assignments are pretty brain storming.If you want to practice some wrangling with data I would recommend it,but you must have some basic python knowledge along with some skills using pandas and numpy.

Issues with the unforgiving autograder require spending hours (unnecessarily) reading discussion forum for precise matching of string formatting. This type of issue destroys the momentum of the course.

Way too tough for beginners or even intermediates lectures are very long which makes them boring and the assignments and quizzes are way too tough.Hope to see betteer course and much easier assignments