Excellent course, and very well taught. The projects are a bit difficult for beginners and will require independent learning as well as revising the lectures, but such is anything important in life.
The only thing I think the course can benefit from is a printed summary of lectures, since they can be quite dense with information! But I think the Jupyter Notebooks are a good inclusion as is.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Very good course although the assagissements are a little bit too difficult (at least to me...)
very good course
Some issues when validating the assignements automatically but the forums are very helpful. Overall great course to start learning python and the libraries pandas and numpy.
Congratulation ... This is a course that any python biginner have to see
There were some gaps that were tough to bridge, but I got there.
At the end of the course, I feel the confidence it has given me in handling data.
The course was easy to understand. The reason i'm giving 3 stars is more on the preparation of the entire set of courses. They kinda develop as the course goes. The other 4 courses of the specialization were not even ready after this course was done.
It's awesome!
The course per se deserves 5 stars, however the "grader" (=the program which checks you programming) is a pain in the a**. I once submitted a float but it wanted a float 64 ... well yea ...
The Tips in the discussion forum are great - however they could be highlighted better (e.g. extra post).
I especially loved the discussion prompts. I thought them very important.