Ratings and Reviews for Introduction to Data Science in Python

The automated grading system for Jupyter notebooks isn't great, but the content itself is outstanding

The pace of the course is fast, need quite a bit of python experience and a lot of study outside of the course material.

Excellent assignments, lectures very fast-paced and didn't cover all the material needed for assignments (which was kinda the point - you learn Python by trying it over and over again not by imitating what you saw in a lecture).

Fantastic intro to pandas. Gave me the foundation to learn more!

This course is definitely not for beginners. I have a lot of experience working with data in other programming languages and found the assignments very challenging. Lectures are very short and do not really teach you the material - you mostly learn from doing the assignments, which are well thought out and mimic the types of projects that would be done in a professional/academic setting.

There is one critical technical problem lying in the assignment three and already caused hundreds of students' grade blank in the forum, including myself.

i really enjoying learning this course .

This course is a very nice course, though it wasn't close to being thorough, but it helped me to develop self learning skills and endurance in tackling problems. it also helped me to have a pattern of study for data science, providing me with assignments which tasked me and helped me in learning so much more

Helped me acquaint with Python and Basic Data manipulating techniques!

This was a great and somehow challenging course , I've learned a lot from the subjects.Thanks to Michigan university