Ratings and Reviews for Introduction to Data Science in Python

Even if you know nothing about Data Science with Python, this course is a great place to start. Videos are concise and Assignments are elaborate. It took me more than the hours mentioned but it was a great learning experience. :)

This is a fantastic introduction to Data Science using Python. It's challenging enough and I love the way Jupyter has been integrated to help with assignments. I love the fact that they encourage using independent research to solve some of the problems as this is a critical skill for any data scientist.

If you already have some experience with data science go for it! or else please learn the concepts before hand

hard. good.

Quite good course, but the principle of noninformative autograder is devateting.. A tipo in one part caused I've been working on the last assignment for hours... It'd be better to include some more information/checkpoints or to split the tasks to several smaller ones.

Great course. Looking forward for more stuff.

Excellent instructors.

I have been doing some coding in different languages and this is my first time in Python. I would say I am on intermediate level (7 years practice), but this course made me spend a lot of time on learning only a tidy bit. The course fails in the basic educational purpose: Provide theoretical lectures and apply it with practical experience. There was little to none connection between these two aspects. The exercises were also way too difficult vs the lectures. I would never recommend this course. My recommendation: Don't make the student spend too much time googling, and solving problem outside of the curriculum, but provide many easy questions as it is a introductory course. Also, Provide a better overlap of exercises vs lectures.

The explanation of the pandas library was a bit fast in my opinion, but apart from that, the instructor was clear in explaining the usage of the library and its application. A great course overall. I would suggest that a basic understanding of the pandas library would be useful before attempting this course although it is not necessary.

This is good tutorial .