A great job by the Instructor. Since tutorial contains hands on work a little bit fast so it was difficult to get it these concepts in time. Overall great job :)

This course helped me learn Python and the assignments and the projects helped even more to learn. I would like each and every person behind such a great course.

it does really teach you the basics of data manipulation but without the "teaching", meaning you have to do a lot! of in depth learning and research by your self

This course helps me to understand deeper pandas and numpy. Earlier I haven't done so many exercises by Pandas. Now I can prepare data for further manipulation.

The best assignments I have ever seen in all the coursera courses! Very challenging and the best use of discussion forum seen so far. Thank you for this course!

The assignments were very well made and the discussion forums were also very well moderated. I will highly recommend this to any of my peers who are interested.

Great introduction to Data Science with Python, course builds up your base and act as a building block to play around with data and makes familiar with python.

Outstanding course structure, from assignment 1 to assigbnment 4, the skills and applications gradually ramped up. I leaned a lot in this class. Thank you!!!

Its a challenging course that requires that you have already Python knowledge, but the experience is worth it and it feels like you-re professionally growing !

First step course for anyone who wants to learn data science. This course will introduce you to how to handle datasets, particularly in a data scientist's way.

Very nice course I reviewed my knowledge , it was so helpful. Thank you to Staff Yusuf Ertas , He responded my question in the discussion very quickly . Thanks

The tutorials should be similar to this : https://www.youtube.com/watch?v=xvpNA7bC8cs&t=773s

YouTube explain the python codes better than whats explained here.

It would be helpful to have some kind of test codes to test the assignments on lines of Introduction to ML course by Andrew Ng. That helps is debugging easily.

Superb course and the staff from University of Michigan were quite committed with the learners, they've given me very valuables tools and skills, thanks a lot.

Very helpful. Assignments are generally hard but impactful and helps learners grasp concepts. There's a lot of help online for assignments. Do check them out.

I already done a reasonable amount of courses in coursera. This one is for sure one of the most challenging and well made that I had the pleasure of finishing

very very helpful and practical BUT very difficult for people with no programming background. Still, great course with lots of practice and hands-on projects.

This course is good for progressive learning of python especially when your is to use python for Data frames. Introduction to hypothesis testing is too short.

Great course. Concise yet very useful. The programming assignments were great, with real-life data sets, and the associated required data cleaning/processing.

Great course. Concise yet very useful. The programming assignments were great, with real-life data sets, and the associated required data cleaning/processing.

Excellent introduction to Data Science. I just wish that there are practice assignments on just the topics covered before diving into our own implementations

Gained a lot of knowledge on using the pandas library in a short time. Introduced interesting topics on different data science topics like Goodhart's law etc.

The course is very good. The scope of the course was well defined by the Michigan University. I highlighted recommend if you want to begin with data science.

Learned a lot about Pandas and data manipulation! But some small points are not very clearly explained in the assignments. Going over the forum is necessary.

This was very useful and have learned many things from this course and by learning this course this creates enthusiasm to me to earn more about data science.