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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,517 Ratings from Coursera

Reviews

Some directions were confusing but learned a lot
It is a very good introductory course to data science field using Python.
good
It took me a while, but I finally figured out the problem with this class. The lectures provide some good information, but only rarely do they go into WHY a particular action/method/approach is used or WHY it will be important later. I had to do my own deep dives into available documentation to figure out how most of the functionality covered in lectures really works. This is not necessarily a flaw in the class, but it does mean the suggested time commitment for each week of class is significantly underestimated. The assignments, while interesting, have the same issue as the lectures. Most of the time is spent using of Google to look up Pandas and Numpy functions or methods, or if we really get stuck, to see if someone on StackOverflow already addressed any questions you might have. Put simply, the only different between this class and learning from a book is the class sets deadlines for the students to meet in the form of graded assignments. Of course, the setting of deadlines is an excellent way to stimulate learning, and this is why I will continue on with the Data Science specialization.
It is a great course!
This was a nice course even though I knew most of the stuff before hand lectures still had something new in store for me. However, I found the programming assignments challenging because even though the submission checked our solution if I got it wrong it was extremely difficult to pin down the mistake and the instructions itself couldn't through a light on my short-comings. So I learned the hard way. It was a great experience.
Really good and interesting, thanks for the reinforcement of the pandorable language and the use of Map and apply.
Excellent learning materials. Clear concise explanations, but with the focus and majority of time devoted to activity-based learning: exploring the docs, practicing skills, and developing solution code. Even better is how subsequent lessons not only build on previous skills, they actually help guide and refine approaches even further. Well orchestrated progression of zone of proximal development. Thanks for a great learning experience!
I have taken my Pandas skills to a new level as a result of this course.
Very useful and entertaining !

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