I did this course as a 2nd year CS student with limited exposure to Python before the course. I had a basic understanding of syntax and knew basic structures like Dicts., Lists, Tuples. It took me 30h to fully complete the course - I did it in 2 weeks. I would recommend the book 'Python for Data Analysis 2nd' as supplementary literature. The course material is very very limited, which is by no means a bad thing. It just requires you to find answers by yourself. I really enjoyed it personally and would recommend this course for anyone who is interested in Data Science! Just make sure you know your Python basics beforehand.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
for testing question, if some test cases are provided i believe that could be very helpful saving time.
Otherwise course is very good especially the assignments and project.
Thanks!!
This is a great overview for python, but the materials/videos/slides are very elementary compared to the sophistication of the homework. Required many more hours than the estimates.
Excellent introduction to the subject with comprehensive example code and solid assignments. I personally avoided most of the optional writing prompts as the anonymous feedback received from other students on the first such assignment was not constructive. I would recommend the optional readings and outside information though, it is quite thought provoking.
It was a awesome learning experience.
autograding system is terrible
pace was too high
Awesome.
Really great course. Challenging and attentive staff.
For the non-programmer, this will take quite a bit longer than you would expect. Very detailed though and the forums provide a lot of help, fortunately since enough people are taking this course to make community feedback useful. A few of the instructors are helpful in discussion forums as well, although sadly not all of them are equally helpful.