Ratings and Reviews for Introduction to Data Science in Python

the study forum helps me a lot

This is good introductory course which exposes the learner to data science fundamentals. The learner need to practise to get more grounding especially in data cleaning.

homework format of outputting values from functions needs to be improved

The course content and explanation is superb, Assignments shall have access to course auditing students also though they shall not be graded, anyways thanks to Prof. Christopher Brooks to deliver such great lectures.

awesome class

I love all the features that pandas and numpy have to make routine data cleaning tasks easy. They are so much easier to use than core python, require less code, and work faster. I love these methods (e.g. list comprehension, mapping lambda expressions across data frames, pandas datetime functions, read_csv, merge etc... the list goes on...). Thanks for the great tools. I've learned a lot of valuable techniques from this course, and have started using them at work already, to great benefit.

Awesome experience, A very good refresher on Pandas and other fundamentals over the weekends.

it does really teach you the basics of data manipulation but without the "teaching", meaning you have to do a lot! of in depth learning and research by your self

Basic information about numpy and pandas

Good information but the auto-grader could be re-tooled to provide more feed back, especially for common issues. I would like more reference material for basic python/panda operations with examples. I should not need to dig into a forum to get a link to commonly used syntax. Having a basic reference guide with clear examples would have saved me hours of time and my retention and the overall experience would have been much improved (please use your class to share what you know, it does not have to be this painful)