學生對 密歇根大学 提供的 Introduction to Data Science in Python 的評價和反饋

Why didn't you taught the stuff you meant to give in the assessments, if one had to learn independently you could've provided with assignments only. Also too much rush during the programming tutorial.

I am spending more time to deal with auto grader issues than learn something. This is so frustrating despite having good course contents. Frustrating and waste of my time and effort and money.

Very awful experience!

Compared with python 3 programming specialization, this first course's assignment is too difficult for student to handle, and less practices to handle these knowledges.

The instructor is the embodiment of monotony - adding to that, his lecutres are lacklustre, uninformative, and the student has to live and breathe on stack overflow for every assignment.

Lessons were ok but the assignments were really frustrating, not because of the questions itself but because the questions were organised badly or were really vague and confusing.

Not much practice work, one will easily forget the concepts. The mentor speaks and types too fast, most of the time you will lag behind. Its like someone is reading a book.

The course contents are great but the instructors are not. I struggled a lot and had to watch a lot of tutorials from other places and finally I learned the contents.

Explanations are superficial, and it relies too heavily on self-learning. For that I can simply check Python's documentation without paying the course's monthly fee.

There is no helpful guide to the tasks, you don't know the results in advance so you don't know if you are doing well or not.

Tedious and you don't learn anything.

the lectures are not helpful at all, assignments were organised poorly - there impossible to see mistakes, in other words- go break your head over it

Corrupted or outdated data in week 3 and week 4. Hidden tests that fail and you can't get the reason...

Besides of that - the material given is good

The instructor teaches you very liitle and expects you to do thing of your own.It was the worst course i have done until now.The instructor is mad.

The pacing for the course is horrendous, this class quickly becomes impossible to do without looking up answers as the lectures do not help at all

The Course is too general, not going into details of how codes should be written. In order to pass the assignments you need to separately study.

Unclear assignments, lectures are brief and sometimes unclear. Spent more time trying to understand what was being asked than actually learning.

The lectures videos were poorly structured, the only good things were the assignment which on its own can teach better than the lecturers

The course material is good, but the auto-grader does not work properly. Most time on week 3 assignment is debuggin this auto-correcter.

Very knowledgeable professors, but very little explanation or actual 'teaching'. Graded assignments require a lot of self-education.

Not much information for beginners without a coding background. Assignments are impossible given the video tutorials we have.

it is very hard for beginners to understand!! More example type teaching is required than simply dictating the theories.

The instuctor is too slow and the way of teaching could be made more interactive and interesting , like CS50 of Harvard

teacher is good but talks way too fast. hard to follow especially data science concepts at that speed

The Class is too fast and not explained in an understandable manner. Programming is also very fast.

I HAVE NO IDEA WHY IT ALWAYS KEEPS REJECTING MY WEEK 2 ASSIGNMENT. WELL I AM NOT TRYING AGAIN NOW

Not an introductory course. They don't even teach like you're a beginner. Very very unsatisfied.