Ratings and Reviews for Introduction to Data Science in Python

When ones motivation for taking a course switches from learning as much as possible to wanting to finish the course in order to leave a review warning others not to take the course until the numerous structural issues with the course are resolved then something has gone very wrong. The course materials are okay for an intermediate course. Just 'okay'. Not good. Not great. Certainly a substantial step down from the wonderful 'Python for Everybody' courses which, by the way, are inadequate preparation for this course despite the Dr. Brooks' claim. That said, the main issue with this course lies in its incredibly vague and poorly thought out assignments. If you are actually decent with Python you will, in all likelihood, spend more time fighting with the Jupyter notebooks and auto-grader than you will actually completing the assignments. If you're newer to programming expect to spend at least five times as much time on each assignment as the estimated completion time suggests. Also, good luck if you actually need help, as this course has the most aggressive enforcement of Coursera's honor code that I have seen on this site which means that you are SOL if you need help on a problem. In short, I would recommend that no one take this course until the numerous issues with it are provably fixed.

My first course in Coursera and a great experience, I will definitely continue!

The Assignments were especially challenging and intuitive. Loved the Assignments, I think I can consider myself brushed with Python now. Pandas Tutorial was also wonderful :D

You may need to brush up on some Stats concepts if you havent used them before. The assignments are sufficiently challenging, even if you have a programming background. Overall a good course to get started on Data Science.

The material felt very brief. Felt like this was suppose to be a refresher course. The lecture videos are not very helpful in its delivery. I wished there were more visual aids to help me understand the lectures more. Most of the time, it's just the lecturer sitting there talking and some quick screens of the Jupyter codes. I walked away with a brief overall idea of the material instead of an in-depth understanding of the concept. The assignments were challenging and I felt like they were very helpful. Expect to spend a LOT of time researching for the assignments.

Hands on indeed

Outstanding course to get a kick start in the field of Data Science.

Perfect course ever!!

Professor has everything covered, and I really learned a lot through this course.

I was considering taking the other data science courses offered in this series but was not happy with the way this course was prepared. I completed the course but would not recommend it for beginners.