Ratings and Reviews for Introduction to Data Science in Python

Awesome Course......

Quite a fast-paced course, with very quick and packed lectures. Would have preferred the course to be slightly longer e.g. 6 weeks and covering more content. I actually found the style of the coursework to be a plus - though it involved a lot of Googling, this is more reflective of real life, where answers aren't just handed to you on a plate. However, the instructions for the assignments aren't very clear in places, which can easily cause you to become stuck.

To much disconnect between assignments and lectures

It is a tough class for me, I read over three times, I feel good to pass the assignment.

Thank you very much for this course. I really enjoyed the level of the course. In particular the fact that a decent amount of research was needed to work on the assignment. A few issues with the programming assignment. Especially at the beginning. I am assuming this is because this is the first version that uses jupyter notebooks.

Very comprehensive in terms of the amount of material covered and the content covered in the material. Covers a lot of model building algorithms in addition to machine learning fundamentals. Has an intuition lecture in addition to the fundamentals which helps a lot! A possible change could be to use R to demonstrate the concepts instead of Matlab/Octave.

instructor is too fast, video lectures are not enough and assignment questions are not clear which wastes much time just to understand the question

Excellent Course. It covers many useful topics and tips for Pandas.

The project that is the end assignment is a very interesting exercise with real life application of information that is readly available to the public for real-world decisions. Aside from that, it is a great course that scratchs the surface of what Pandas can do and open wide open all the possibilities it can give you :D

Challenging and well worth the effort.