Ratings and Reviews for Introduction to Data Science in Python

Solid course that takes you from simple concepts to relatively complicated content for beginners. The autograder on the assignments can be painful but the forums are very helpful in getting issues resolved relatively quickly.

Best course I've taken so far, I feel more confident about my knowledge in data science, especially working with pandas library. I can say that this course is a huge step in my journey to becoming a data scientist. Thank you University of Michigan and it's tutors for the great experience!

The material is good, but the assignments are incredibly messy (perhaps that's what you're supposed to learn!): errors are never fixed, it's still using pandas 0.19 (this isn't even mentioned) and you can see the course is simply neglected.

Good course for beginners but it is some advance thing which asks in the assignments but not covered in video lectures

faculty not that good as compared to my last course's.Charles severance was a great teacher.

It was very good, loved it.

The explanation was very brief. Not much detail explanation and example. Need to explore more by myself.

One of the most satisfying and challenging online courses I've ever taken. It's a densely-packed, fast-paced course and the assignments can be a bit challenging. For the assignments, we are provided datasets that are similar to the ones that we are likely to encounter in the real world. This course also teaches us to refer the official documentation and where to look for when we encounter problems.

Very demanding and tough course, but I learned a lot and it was never too difficult.

These course is very good for data science with python in future for job purpose in industry.