Data Journalism Handbook Creators Announce Free Online Data Journalism Course


Our media environment is increasingly saturated with data – from large collections of leaked documents published by Wikileaks, to public databases about lobbying or government spending, to ‘big data’ from social networks such as Twitter and Facebook.

As a result, many media organisations are seeking data-savvy journalists to help them to process this information: to understand what is in it, to identify what is important and to provide insights to readers in a compelling way.

To help journalists to acquire the abilities that are increasingly required for journalism jobs in the 21st century newsroom, we set out to create the online course Doing Journalism with Data. The course, which will start early next year, is an introduction to the essential concepts, techniques and skills necessary to effectively work with data and produce compelling data stories, and is open to anyone in the world with an Internet connection who wants to tell stories with data.

The course is being developed with the input and guidance of an amazing group of instructors and advisors comprising of: Justin Arenstein (African Media Initiative), Paul Bradshaw (Birmingham City University), Alberto Cairo (University of Miami), Steve Doig (Walter Cronkite J-School), Josh Hatch (The Chronicle of Higher Education), Nicolas Kayser-Bril (Journalism++), Angélica Peralta Ramos (La Nacion), Aron Pilhofer (New York Times), Simon Rogers (Twitter), Guido Romeo (Wired Italy) and Sascha Venohr (Zeit Online). 

To follow the course you can register at datadrivenjournalism.net/course. The course materials will be made available under a Creative Commons license, so if you'd like to talk to us about translating them or including them into your own training modules please .(JavaScript must be enabled to view this email address)