Ratings and Reviews for Introduction to Data Science in Python

If you are thinking of doing something in the field of machine learning and Artificial intelligence . If data science is your passin. if you love playing with numbers . if your math teacher is boring , you need to take this specialisation.

Very good course!! The assignments really encouraged me to learn more by myself, and also to learn how to solve problems through forums such as Stark Overflow. The forum within this cause is also very useful, too.

I really wanted to like this class and was looking forward to learning data science in Python but this isn't the way to do it. The instructor glosses over material without explaining it and the assignments require a large amount of research and outside learning to complete. If I have to learn how to do the assignments from Google and Stack Overflow, why am paying for this course? I've taken other classes on Coursera and am pretty good with Python and self-learning but this is pretty terrible. Overall I expected better out of University of Michigan.

Excellent course

非常具有实用价值，老师讲解也非常深入浅出，尤其是每周的最后测试，难度适中，既能帮助进一步巩固知识，同时也具有一定趣味性和实用性，很棒的课程

Very well designed course, especially the Jupyter notebook. Totally accessible and user-friendly for both math/CS/stats majors and those without related background knowlege.

I found this course challenging especially during weeks 3 and 4. In order to pass I had to do a great deal of data cleaning and for this a good knowledge of Python is a must. I highly recommend this course as an introduction to Data Science.

challenging and helpful assignments. i learned so much from this course!

Much more practice-based than similar courses on Coursera - expect to spend a lot of time on Stack Overflow!

It is a great course. In depth teaching but on week 3 and week 4 required a lot of hours of researching. Worth every penny. It really pushes people to learn Pandas by researching on their own.