it's a nice course, more project based than theoretical, challenging assignments and good instructors. it spurs you to do a lot of research and individual learning

Es un buen curso. Me parecío demasiado rápido el teórico y demasiado escueto. No me gustó que en los assignments hubiera que buscar tanto dato en fuentes externas.

if anyone want to learn data science through practical approach then with no second thought enrol to this course .

thanks to cousera for providing me financial aid.

Most of the work is on your shoulders, I think it needs more practice session on pandas. Wes McKinney's book are strongly recommended for help through the course.

It took a lot of self-study, practice and much more hard work than expected at start of course. But at the same time it increased my knowledge manifold. Worth it!

The course structure was very good! Assignments were exciting although a one or two questions were not so clear. But the discussion forum was awesome and helpful!

Great course! Some of the homework questions seemed a little ambiguous but I was able to find clarification in the course discussion. All in all I learned a lot.

This course is wonderful! I think its a good practice for those having some experience with python's pandas and numpy library, to make their a solid foundation.

I would say an advanced level of python understanding is required. The assignments are very difficult however you do learn a lot about python and it's libraries.

This is my first online course the course has indeed helped me to master data science and the assignments are quite good based on self learing more

Thank you...!

This course taught me a lot about pandas. However, the difficulty of the assignment didn't match the content of the lecture. It is too difficult for a new comer.

Steep intro, can be tricky to understand, the requested format of the responses. The autograder is not always verbose enough...

Good learning experience otherwise

Good course - fast paced and needs a lot of self learning from the web to get through the challenging assignments. Be prepared to spend good time on this course.

I think it would be more interesting to include more diagram/map mapping instead of lecturer's image all the way from the beginning till the end of each lesson.

the course is fine. But the videos are too short and the instructor speaks so fast. Overall it gives a good introduction to the python pandas and data science.

Great course! By this time of August 2019, it is a bit dated. I wish University of Michigan would update it with current project and updated version of Pandas.

The course was structured well, there were a lot of assignments that really help with learning pandas. The lectures were ok, could've been a bit longer though.

Very good intro into how to use Pandas for working with data sets and get insights from your data by using various aggregating functions and statistical tests.

the assignment is discounted from the lecture, it is way harder. But I learnt the most from the assignment and the forum. Overall, it improved my skill a lot!

Sometimes my time was spent trying to get to grips with the ambiguity of the question. this was quite often frustrating, but overall good course, learn a lot.

A challenging and fast moving course. I recommend studying up on basic python before taking the course and to pause the videos often to understand each piece.

The course is very good to introduce people with pandas usage, however, the autograder and little data issues on the assignments costs a lot of learning time.

The assignments is awesome!

But it requires too much self learning.

The course will be better if the professor can teach a little bit more about the functions~

Excellent instructor with high level talk that goes into the details just enough. Recommended to have some programming experience but you can get by without.