Ratings and Reviews for Introduction to Data Science in Python

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.

A great practical course.This course will make you think and search a lot on stackoverflow,which is good because a lot can be learned by doing it ourselves.Then why this course because we need to know what to look for and this course gives us the basics and we will be able to do the assignments by ourselves .Its not really tough but will need some time to get all the answers correct.

Very challenging course yet very informative. I am looking forward to the rest of the courses in this series. A word of warning: if you are not familiar with statistics, parts will be very difficult. If you are not familiar with Python the whole course may be very very difficult.

Great Course!

So useful, learn the course through programming assignment, you need to do a lot of self-study and google, not just restrict within the course material, this is the way I love to study