Ratings and Reviews for Introduction to Data Science in Python

Good course overall, but more material is required to be learned outside of this class for the required assignments than what is actually taught in the class by a very wide margin

Great Course!! You learn alot about Python for data analytics. It is very hard for someone that is beginning to programming. But there are a lot of recourses on internet that can help you. I recomend this course for all that need learning data manipulation with python.

Excellent Course!

I have to say, the quality of this course is significantly inferior than the previous "Programming to everybody" . Firstly, it has something to do with the language that the lecturer uses to explain the concepts in Python. The language he uses is unnecessarily complicated. The sentences are very long and the words he uses are vague . If you want to explain a relatively complex concept, you need to use simpler and more comprehensible words. You cannot use a complex concept to explain another complex concept. The second thing is about the structure of the course, the insufficient engagement. The lecture is full of contents but only with very less interaction exercises. This will make students lost in the half way. I have to say this is not a pleasant experience even if I'm already very familiar to some other programming languages such as R and C++.

Brief and well-structured material as expected from university class. Self-exploration is a must.

Teaching is great. Questions are too ambiguous sometimes I do not know what is the requirements of the answers. Anyway, I still learned lots from here.

Extremely dissatisfied. Lectures are useless and the instructor didn't put any effort into designing a curriculum. After struggling for days on the second assignment I purchased the recommended text for the class. Week 2 effectively starts at chapter 7 in the book. Instructor needs to replace his absurd amount of face time some slides showing the application and logic behind the methods he is trying to use. Jupiter notebook is a tool designed to make the instructors job easier, doesn't help the student at all. I could go on but this course has drained the energy from me. FYI, half the people that complete (or attempt to to complete) this course don't continue on with the specialization. This should speak volumes.

It was an awesome experience of learning Pandas. The course materials & specially the Assignments cleared the concepts absolutely clear !!! BIg Thanks to Coursera & University of Michigan for putting such an awesome course !!!

The course and content is by itself ok / good. The time needed for doing the exercise is quite long and the automatic grading is not straightforward. So i spend a lot of time debugging my code to have functional code to the robot checker and not just to make it work (Very true for Week 3). Not my favorite mooc i have complete.

The course is great, there are challenging assignments, great for those who want to learn the basics of programming/data analysis.