Ratings and Reviews for Introduction to Data Science in Python

assignments are tough and guidance is needed for them. Googling for problems takes time So , sometimes i became frustrated and shutdown my pc. Assignments are good but you need to give some hints and proper problem defenition

great course!

A well rounded course that gives a good introduction into the scope and use of python in data science. Lectures were kept concise and to the point. The assignments were really useful as they used real world data and gave a good understanding of using python from the data cleaning stage to arriving at meaningful results. One negative I may point out is that the time that is shown for assignments doesn't really reflect the time it takes in reality as people need to do quite a bit of self study for a lot of the questions. If you could increase the time showed, it would really help working professionals like me to plan their time for it accordingly. A really good course with good course materials and helpful teaching staff!

Best for DataScience

Truly insightful.

The difficulty of the excersises made it a good and challenging learning experience. Sometimes it was not possible to continue the rest of the excersises in the assignment if a previous question was not correct, this should be possible.

I went into the course expecting the course would be a breeze. Boy! I was wrong. The course start easy on you in the beginning. Week 3 and i'm starting to feel the heat. Books and stackoverflow was my best friend going through this. Thanks for the great course. Teach me a lot of new tricks. Don't be fooled by the word "Introduction to".

very thoughtfully put

You'll spend more time struggling with the jupyter notebook (assignment platform) than actually writing or learning code. The lectures are really good, though.

Massive learning curve. I was going to recommend this course as an intro to Python/Pandas to my colleagues but the content ramps up too fast for those with only introductory programming knowledge.