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

I felt lost using Python as a data analysis software with this course.

the corrector system was very bad and i m not undrestod my mistake

Very fewer video lectures and I felt Assignments to be very hard

I found the teacher boring, but his teaching was a little fast.

for an introduction course it was just too much to understand.

Very fast paced and concepts explanation was not upto the mark

Too general. I was expecting more to learn from this course.

very tough tutorial is easy but assignment are very tough.

assignments are tough. didn't expect too much high level.

The lectures were not enough for the assignments provided

Good content but too fast pace and confusing assigments.

Jupyter notebook for assignments do not work properly.

The questions are very hard and not covered in training

Dint teach anything used in the assignments properly

The problem is the lack of practical exercises

It's asking for money to continue the course

A bit more motivation needed in this course

Good material, let down by instructors.

Its too fast paced and less elaborated

Nothing new. I recalled what I knew

The lessons were too fast and dense

Theory is not related to exercises

Good materials, annoying grading.

Should have been more detailed

Better reading a pandas book.