It covers necessary topics for my job purposes, but it's not sufficient.

It was great experience learning the basics of data science with python.

Very clear and straight to the point, yet a bit advanced for a beginner.

assignments are a bit tough, some of them are advanced than the teaching

it is really nice course which gives you complete basic of data analysis

could have explained Hypothesis testing in better way with good examples

great course!but some assignments lack of clear instruction or mistakes.

The course is pretty good. However, the tasks are no easy to understand.

Sometimes need more words in tasks, so it can help understand it better.

Interesting course, with interesting practice assigments, i like them!

Better teacher required.Language is very much technical,not simplified.

need to give more examples on specific topics for better understanding.

learn a lot, but the questions are so tough, i uses much time to do it.

Course is good. I learned a lot. But the pace of teaching is very fast.

Interesting, but I wish we could have the teacher's code for my notes

great course for who want to take the first step in data science field

Thanks, University of Michigan and Coursera for providing this course.

Well, the course is good if you are going for complete specialization.

This course was very useful, it helped me understand python in detail.

Learned a lot, but you constantly have to fight against the autograder

Course content is good but the explanations need to be more elaborate.

Feel too difficult to finish the tasks as they are little complicated.

Good Course but need to improve in conceptual explanations and visuals

I like the use of the Jupyter notebook. Don't have to wait for grades.

Good course to start understanding the usage of Pandas in Data Science