Ratings and Reviews for Introduction to Data Science in Python

Really simple and easy to follow and learn :)

Последнее задание, требует подгонки данных? Очень странно..

great course, but the auto grader needs updating

Most of the work is on your shoulders, I think it needs more practice session on pandas. Wes McKinney's book are strongly recommended for help through the course.

I've learned a lot of courses on Coursera, and I found this course the toughest but the most rewarding. I can't say that after this course I became an expert in Python-Pandas, but I've really learned tons of analytical skills. Thanks to lecturer and all the faculties.

This is a terrible course. The "instructors" give quick little lectures, then we're told, for the somewhat complicated (for a beginner) assignments, to look things up on StackOverflow to figure out how to do the assignments. Um, no. I want a class so I don't have to tear my hair out dealing with the internet. The Johns Hopkins Data Science Specialization was fantastic. They actually taught how to use R to do data science. I'd hoped for something similar for Python with this class, but I guess The University of Michigan isn't Johns Hopkins.

Great Introductory course of python libraries like pandas and numpy

Good course that gives you some basics of python while still forcing you to look up for answers online. However, course instructors really need to fix the few assignment issues that can make them very lengthy for no reason...

Very rare I write review. And this is rare course that teaches nothing. The lector explains nothing. "I encourage you self-learning. Read the documentation. Search google. Ask stackoverflow.com. If you don't know python, take another python course. If you don't know statistics, take another statistics course. I encourage you self-learning even more." - that is what lector sais to you.

Very Good!