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.

The course explained in brief, rich in theory but not much in practice, so a lot more individual learning is needed more than the time taking of this course

This course is a fairly good introduction. Expect to spend a good amount of time searching forums for guidance on completing some of the weekly assignments.

The coursework was amazing but if the student start without having strong python knowledge, it can turn out to be very difficult especially the assignments.

I like the assignment a lot, but the course material part contains too many talking. I would like to suggest it includes as much as coding, and less talking

Good course.

Some trouble with the assignments, difficult to understand what's wrong with one submission (could be good to have someone look at your code).

Nice course. I really liked how I could proceed at my own pace. The computer-graded assignments were very helpful and the Forums were good sources of info.

Will require a lot of individual research and working through the finicky lab grading system, but it's worth it if you want to learn the basics of python.

Some task descriptions in final assignments were not fully clear so I had to resubmit my work to pass. Otherwise, was good to refresh my pandas knowledge.

Content of this course is very practical and good. I find it bit difficult to understand language since explanations are fast and contains a lot of terms.

Great intro to handling data with python tools. I love the fact that "why" is answered and not just "how" to do your research. Easy to listen and follow.

Very good course and I learned all the new stuff like pandas, numpy and hypothesis testing etc. Assignments were very good to concrete my understandings.

Good introductory course, challenging to basic level and forcing to use new technics and think out of the box. Recommended for first contact with Python.

Overall it is a very good course. However, it seem that the programming assigemnet requires more instruction and the quiz requires a lot of self study.