Ratings and Reviews for Introduction to Data Science in Python

a little bit difficult for beginner.

I feel this course really helps me build a solid foundation of Python coding. It covers a wide range of coding details and encourages students to learn by themselves!

Fantastic course, but you need to know your way around Python before starting it.

Every graduate's bootstrap into the modern world of Data Science.

The course content is very good and its well taught. I suggest to brief or explain the assignment questions after completing it, it will help to better understand the things.

Nothing new. I recalled what I knew

Pros: Good and practical syllabus Cons: no so clear explanations of some topics, problems unclear issues with assignment grading

Awesome lectures, gave great insight a into working with data using the scipy library

Right depth and very useful problems to solve as part of the assignments

The course material was good, but don't expect to have your hand held during this experience. While the lectures are informative, the assignments often leap ahead in complexity. Each assignment does say that you will have to do some research on your own, to be fair, but the amount of self teaching required is, in my opinion, too much. That said, the problems posed by the assignments do build on each other (even if they don't line up well with the lecture material) and if you honestly take the time to learn the things you have to understand in order to complete each assignment, you will walk away with some new skills and a sense of accomplishment. 4 out of 5 for teaching me some new things, minus the one star for being more of a challenge than I was expecting.