Finding Stories with Data – Online, Intensive
You’ve heard people talking about data journalism, but don’t know where to start? Then this course is for you.
Class size: max 12 people.
Class duration: 1.5hrs x 4 days
Level of participation: very high. Hands-on, screenshares, regular Q&As and participants contributions.
In four workshops you will learn what data is available and how to find it, how to interrogate it and find facts or patterns in it which will lead, inform and enhance the stories you tell.
Guided by one of our data trainers, with decades of experience pushing the frontiers of data-driven investigations, you’ll come away with the skills to start gathering, interviewing and presenting data for your own reporting projects.
There are lots of courses which teach data journalism skills, but no others have the specific focus on using these tools and techniques for investigations and holding power to account that is the Centre for Investigative Journalism’s speciality.
The course is composed of four sessions of around 1.5 hours each, scheduled over 4 consecutive days, with exercises and recommended reading to augment your learning between sessions. Signed-up participants must attend all four sessions.
Classes for this course are capped to keep them small and ensure practicality and interactivity.
“I really enjoyed it and would recommend it to anybody interested in getting started with data.”
“If you come from a non-tech background, but are interested in data, this is where you should start from.”
You can also claim a 10% discount if you combine this course with our 5-module Data-Driven Investigations course. For more information about this two-course package please click HERE.
This course will need you to have the following software/apps/tools on your computer:
- MS Excel 2016 or newer (If do not have access to Excel, there is a free trial version available).
- Zoom app
- Camera and audio
This course will be hosted on Zoom. To find out more about how we use Zoom, please check out our Zoom InfoSec page.
- 22 February 2021 10.00–11.30 Time zone: GMT
- 23 February 2021 10.00–11.30 Time zone: GMT
- 24 February 2021 10.00–11.30 Time zone: GMT
- 25 February 2021 10.00–11.30 Time zone: GMT