Отзывы учащихся о курсе Introduction to Data Science in Python от партнера Мичиганский университет

Very good course. Sometimes the quiz questions were ambiguous. But it is fine.

Very good course. I'd give it 5 if the assignment requirements are more clear.

Hands on projects with a little feedback and a lot support from the community.

It is a good course but it would be better if they involve some more excersise

通过这个课程，学习了pandas和jupyter noterbook，都是非常好用的工具。作业很有挑战性，但是遇到问题都是自己解决，助教提供的帮助比较有限。

Very good course, but it took much longer for me than the estimated 31 hours

It's a nice course. But it's quite difficult for me to finish the assignment.

It will be excellet if we can get more resources for learning. Thanks a lot .

since i'm a new bee to python i am expecting little bit slow of explanations

Good introduction to pandas. The programming exercises were quite effective.

Basic course to understand some important element in Data Science with Python

course was good. But assignments are not designed well enough. so confusing.

the course videos should be slower and concepts should be explained clearly.

it is a fantastic coursera but the assignment is not relevant to the vedios.

Thank you for educating and expertising us in new topics through this course

this coursed gives us a brief idea about data science using python libraries

I think a little more explanation from the Professor would have been helpful

It's great course, but the assignments are so hard to data science beginner.

There are more functions that can be explained in pandas & especially REGEX

Good course. Assignments are challenging. Overall good introductory course.

Great opportunity to learn pandas. Some previous experience is an advantage

good but Statistical analysis part should be more explanatory with examples

Contents are not hard but assignment need more practice and time to finish.

interesting but could provide some mathematical background for further info

I would prefer to have a generic assignments, this is too much US centric.