Your browser is ancient!
Upgrade to a different browser to experience this site.

Ratings and Reviews for Introduction to Data Science in Python

Back to course Page

Reviews and Ratings

4.5

23,517 Ratings from Coursera

Reviews

The assignments were tough!! Probably the course expects you to learn a few things here and there from external sources too. Other wise, it did a fantastic job in creating a solid foundation for me in python and pandas.
Assignments are great to reinforce your learning. But the instructor does not cover many topics and leave you with a lot of questions unanswered.
Great practical course to start data management in python
It's amazing for me.
The course will be a good start for beginners.
A good python intro to familiarize with basic data science packages.
Unlike other courses the lectures are packed with new concepts so much that you can't miss even a minute to understand it. The assignments are fairly challenging. The only part frustrating was working with the grader. Often it won't work and you are left wondering what went wrong without a great explanation. Overall great first course in the series. Looking forward to the next one.
This is one of the best courses on coursera by offering, the instructor Christopher Brooks has a great ability to deliver a lot of information/knowledge in a concise manner! He is a great teacher. I really learned a lot from this course, and reading the course blogs like : science isn't broken, following the data skeptic podcast, joining in on discussions. The discussion forum has great methods by Sophie Green , the teaching assistant, with great stackoverflow links added. This course has a steep learning curve, but as much as it was tough, by and large it was worth every minute investing in it!
very good course for intro class in Data Science
Awesome

Michigan Online
For You

Sign up for a Michigan Online account to customize your experience!