Too much content covered in a video at very fast pace. I am comfortable with little long videos with more details on the topic and I think that can enhance learning.

The assignments are challenging and thus rewarding after hard work.

More explanation effort can be invested during the lecture would make the course perfect, I think.

A very useful course for getting to know Pandas and its application in data science. Bit of advice: use the online version of the notepad to avoid autograder issues!

I dont put the biggest mark because sometimes you have spend a lot of time trying to resolver a problem with and csv file and it is something related with format....

This was a great course. But I would advice programming newbies to really be comfortable with problem solving and Python programming before going through it.

Cheers

The data could be made available. That available in the links have been updated and the code does not apply to the dimension of dataframe mentioned in the notebook.

Good course. makes you work, but the learning was worth it , especially for someone like me who has ben struggling to pick up python though I am fairly good at R.

Nice and very much informative session on Data science using python where we learns a lot and also completed assignments which is really a tough level assignments.

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.