Shield image course 1273 20170105 28 1eshwkr?1483612345

Tidy Data in Python Mini-Course

6 Exercises 0.5 hour 663 Participants 500 XP

Open Course Description

Most of the world's data are not sorted in a clean and organized fashion; nor are they easy to process. As a data scientist, you need to know what the standards for tidy data are and how to create tidy datasets from messy ones. This mini-course will prepare you for these tasks.

Chapter 1: Tidy Data in Python

It is often said that data scientists spend only 20% of their time analyzing their data, and 80% of time cleaning it. Indeed, maintaining a tidy, easy-to-use dataset is crucial in our age of big data. In the paper Tidy Data, veteran statistician Hadley Wickham gives definitions of tidy and messy data so that all data scientists can keep their work organized. In this mini-course, you'll learn to transform messy datasets into tidy datasets using the pandas package in python. Let's get started!

Author image course 1273 20170105 28 5apklh?1483612344
Vincent Lan
Vincent Lan is a Statistics student at Harvard University and a course development intern at Datacamp.