Very well structured course encouraging self-study, debugging skills and active knowledge application, instead of just blindly following course material.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
The course content was great. But I felt the course duration was very small as I was able to finish the course in two days. Prof. Brooks explained each and every concept in a very easy, understandable and lucid manner. In my opinion, this is a very beginner friendly course but the assignments will definitely be a bit challenging for people are intermediate and advanced in python programming.
Good Experience and learning. Overall gained a good confidence!!
It will be excellet if we can get more resources for learning. Thanks a lot .
very very helpful and practical BUT very difficult for people with no programming background. Still, great course with lots of practice and hands-on projects.
Very nice course
The speed is too fast
The video-based training for the course was good. I think there is often too big a jump from what is covered in the videos to what the learner is asked to work through in an assignment. Perhaps more, and more modular assignments would help. It would be impossible (at least in my opinion) to pass the course without the teaching assistants and the interactions in the forums. (A big hand for the TA's!) The additional readings and thought-provoking questions are very good. Please continue them. Finally, whatever you can do to get Coursera to improve the (incredibly cryptic) automated grader functionality would be appreciated: there were times when I felt that the only way to get an answer right was to sacrifice a goat at the grader's altar.
terrible course please improve teaching efficiency and give a proper realistic assignments
Good course i.g! But it is quite annoying, that the auto grader (python 3.5 ?) does not behave like the online coursera notebook (python 3.6.2), which leads to errors at the evaluation.
