Thank you very much!Great course!
Ratings and Reviews for Introduction to Data Science in Python
Back to course Page
Reviews and Ratings
Reviews
More challenging material than the introductory courses. Requires reading in the text book, reviewing the exercises in parallel in Jupyter Labs, and reviewing the lectures. The assignments occasionally had ambiguity which cost some time in solution. In general moved my understanding of Pandas greatly forward. Will start using Pandas in work as opposed to Excel.
A complete course to learn foundations on Data Science. Very good material and some challenging assignments.
great introduction about using pandas
This was the best. Thanks for creating this course
:3
Task formulations and goals explanation in assignments description are extremely bad, I've almost turned grey trying to understand what is the main purpose of exercise.
May be you should be able to read minds of Christopher Brooks or to be some sort of psychic to complete these assignments. :)
The only way to deal with this is to googling and searching for the answer in discussions forums, StackOverflow and Github.
But, unfortunately, I haven't find anything better on coursera for my current programming level.
P.S. If you are beginner in python programming (as me), I highly recommend you to try DataQuest, it is much more understandable.
Assignments are the soul of this course. They challenge you, tests you, make you read up more and get more information. I spent 5 times more time in researching and solving assignments and quiz then on the video lectures.
Good One!
Excellent course and assignments
The assignments and quiz helps to strengthen our understanding and practice more