Working with Messy Data

Working with Messy Data

 
Part of Data Matters: Data Science Short Course Series

When working with data, one thing is fairly certain: data is rarely in an optimized format. A misplaced space here, or an extra comma there, can mean the difference between two clicks and two hours of work. In this course, we will work with ways to manipulate, interpret, and present data from webpages and text using Python version 2.7 and OpenRefine. This class will also cover regular expressions, various imported libraries to extend Python functionality, and import/export of data in OpenRefine.

Instructor: Brown Biggers