Its too fast paced and less elaborated
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
An extremely demanding course, especially on the coding exercises. Expect long stretch of time on Stack Overflow to look up codes and examples....
I almost give up on this one, but still managed to get through after 5 days!
The assignments definitely challenge you and upon course completion I felt confident that I could demonstrate a new skill.
Excellent, very challenging assigments.
Much appreciated and really valuable for the remaining sessions of this specialisation. Make sure you do not skip this, even if you already have some experience with Python.
Great course. Good level of difficulty in the assignments challenging the students for learning.
Great course. Thanks very much learned a lot, especially with regards to how useful dataframes actually are!
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.