Week 4 assignment was the reason I didn't finish this course, even though I am actually a data scientist already. The task was too much focused on manual curation and googling of irrelevant information (sports teams). I'm not from the US and found this task ridiculously boring, irrelevant and frustrating.

Teaching material is poorly organized, and more of information covered in the assignment are not covered in the teaching material. It truly "self study" course. Just skip the video and dive into google. Even assignment question need lot clarification as well. Auto grading is a nightmare.

waste . your videos were useless cause you havent thought much . all the assignmnets were out of portions then what is the point of me seeing your videos if your assignments are all out of portions . worst course ever the only good thing is that the assignments were challenging

Very poorly done course, with no real structure and lack of real world applications. Just a bunch of material picked up from the book with a dry format resulting in very slow learning outcomes. I believe the course from UPenn is superior to this one. Do not recommend!

The instructor sucks. He writes codes in the video and does nor explain the logic behind it. i can find the code everywhere, what I need it to learn why we do it? Most of the time you find find yourself staring at the instructor's face, not codes and explanations

Terrible course. Assignments are extremely buggy and often touches on things not even explained in the lectures. Mentors are not active. Explanations are sketchy and not well paced. Do this course only for the examples in the Jupyter notebook.

This course was very dissapointing, the instructor only explains what is going on in the code and does not provide any explanation on how to structure lines of code. Professor Charles Severance is more engaging in teaching coding languages.

Lectures are brief, shallow and too compressed

Grader is buggy

Generally course is bad. I spent more time in Stackoverflow than here to find answers

I can read books and surf pandas docs by my own, what is the sence.

Just a waste of time

The first two weeks were pretty good. However, assignment #3 had poorly worded/vague questions - Sadly, attempting to finish week 3 became an exercise in futility. Going forward, I will avoid U of M courses on this platform.

As atividades do curso são bem confusas, devem melhorar muito ainda. Não adianta dificultar para ter que passar várias horas no fórum para entender a pergunta e ver dicas. Enquanto não consertarem os exercícios não recomendo.

The criteria to pass assignments are often poorly explained, which results in hours of wasted time looking for clues in discussion forums. It would be beneficial for assignment grading criteria to be much more explicit.

I am really disappointed with the course structure and the explanation. The assignments were really difficult to understand and there were a lot of issues with the grader even though the method and solution was correct.

Worst Course ever.The assignments are way tougher than taught in the lecture.

Complete and utter waste of money.

Please improve the contents of the course and provide detailed list of various functions.

this course is horrible. The lecturer go through things so fast without emphasis, let alone highlighting the rationale behind of each things. Totally confused, worst class I have ever took in Coursera

Awful. The examples are boring, pace is slow, and instruction is little more than "go to StackExchange." Most course 'discussion' involves the clunky, bug-riddled auto-grader. Don't waste your time.

I have learnt more about Python and Pandas using books that with this course; and I say this being an R user for more than 10 years, so I am not new to data science... Didn´t bother finishing it.

Hard to follow this professor. He reads off the script and reads really fast. I have a background in Porgramming but this is the most confusing programming class I have ever attended, sorry :(.

The examples are a bit too extreme head on, I have experience with python but the level at which this is provided is quite hard for anyone to jump in and it should not be advertised as such

This is the worse course that I have taken on Coursera. Speed and assignments are ridiculous and there is no way that you can complete them with the knowledge gained from lectures!!

My opinion of this course has already been stated here: https://medium.com/@masseybr/university-of-michigan-introduction-to-data-science-in-python-course-review-50eb37f5ff0d

Vague. They will introduce an idea in 30 seconds and assume complete comprehension then quiz you on it with no real practice. Not much learn by doing happening here.

Not intermediate. Not basic. Very advanced. Very little point in showing these videos if they are not going to teach anything, just run through these examples.

This course has many errors and bugs in its materials. I don't know why the administrators refuse to fix it but it comes off as shoddy and poorly managed.

Course doesn't give you any tools to use, it only expects you to solve problems with the tools you find from internet. Buy a book, at least it is better.

instructor is too fast, video lectures are not enough and assignment questions are not clear which wastes much time just to understand the question