Ratings and Reviews for Introduction to Data Science in Python

I strongly recommend this course to people with zero knowledge of Data Science, but also to people with some experience that want to switch from R to Python or to freshen up their knowledge. Also I really liked the assessments, they were challenging enough to really learn something. I think they are the courses main strength.

As the course name suggests, it's a great start to get a good knowledge of Python for DataScience which is required if you are interested in participating in Data Science Hackathons

Videos are too fast and the assignments are barely dependent on the videos. Had to spend a lot of time on Google.

The lectures videos were poorly structured, the only good things were the assignment which on its own can teach better than the lecturers

One of the best data science courses on Coursera. Recommended for all who want a hands-on approach to data science while working on real-world data.

The assignments questions need some polish. And some examples with a small datasets wouldn't hurt before jumping to large amount of data in order to understand some pandas functions. The provided examples are great tho. Overall it's fantastic introduction to Data Science.

It's a bit fast-paced for new learners nut is a perfect way to dive into the applied world of python for intermediate learners. I would highly recommend this course(12/10). Thanks for the AWESOME experience!

This course is an overwiew of the data science tools in Python 3, very good place to start for beginners. I did not have any prior python lang experience before i started this course, but now i feel much comfortable importing, manipulating data and draw conclusions about it. Thanks for making it happen TA's and Mr. Brooks!

Very Nice course.. I really thankful to instructors, All team members and To University of Michigan.. Thank you coursera for such a great platform available for us.

Very rushed through.