Ratings and Reviews for Introduction to Data Science in Python

It was my first python experience ever, so it was hard. But the course materials are very well described and detailed, so if you are motivated enough - you definitely can do it and enjoy it. Also all knowleges are applicable to real life since the very first week, so this course is really helpfull. Highly recommend!

Awesome course! I really learned a lot! This is a very effective way to give a first step towards Data Analysis with Python!

Good course but the assignment grader can be annoying as it is very sensitive to data types and data formatting. I get that this is one one of the constraints of auto graders but on a course that is centered around data it can become very frustrating

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.