The Online Data Journalism Workshop is organized by The Centre for Investigative Journalism & Fair Finance India from Sep 18-19, 2021.
About the Workshop
Data journalism can be an incredibly powerful way to get original stories that are hiding inplain sight by finding patterns and outliers, but it can also be indispensable in proving (ordisproving) an existing investigative hypothesis.
The aim of this workshop is to familiarize participants with a ‘data state of mind’ -the theory of how and why datasets should be used to build evidence-based narratives -as well as the main skills and techniques required for quick, efficient, and thorough data-driven investigations.
Our introductory course uses practical exercises and a range of datasets of different sizes,complexities and formats to reveal how to find patterns and outliers in data, helpinginvestigators identify new leads and scoops.
Participants will work through the major theory and techniques of data journalism –for example, using Excel to ‘interview’ the data through filtering and sorting, alongside how to analyse data more closely by finding rates, ratios, and basic calculations that generate story ideas. Participants will also learn how to use pivot tables, a powerful tool for aggregating data and summarizing trends.
This course will also cover cleaning data to allow more detailed questioning and ensureaccuracy. Participants will learn how to usespecialist programmes such as Open Refine tomake sure data they are working with is as consistent and precise as possible.
They can also provide practical advice and guidance on how best to source data, using specific search operators to identify datasets available online and other methods of accessing data which is less publicly available.
Additionally, they cover visualisation of data, both for the purposes of exploring and analysing data visually, and for accessible and easily intelligible presentation of complex datasets to an audience.
This will help participants to see patterns, connections and trends that are often difficult to identify through spreadsheet analysis. It will also help them convey salient points from an article in quicker, more effective and visually appealing ways. This will cover graphs, infographics, maps and interactive elements.
Participantswill 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, participants willcome away with the skills to start gathering, interviewing and presenting data for their own reporting projects.
There are lots of courses that 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.
Course content = 4 x 90 mins sessions. (6 hours in total)
Session breakdown is provided below:
Session 1: Interviewing your data(90 mins)
This first session teaches you the primary functions of spreadsheet software for journalistic analysis. These functions will allow you to quickly and easily ‘interview’ your data, asking questions about what it knows and interpreting the answers. These techniques form the core of data journalism skills.
Session 2: Finding data(90 mins)
Having sharpened your analysis skills on some sample data, you’ll be keen to find datasets relevant to your own projects. This session will give you the best tips and tricks to find data that can inform your research and provide leads for new untold stories.
Session 3: Importing, cleaning and tidying your data(90 mins)
Even when you know where to find data and how to analyse it, there are often barriers in your way. From the difficulties of working with incomplete and inconsistent data to the problem of ‘data’ being released in PDF format, this session will give you the tools and techniques to unlock datasets and clean them up, getting them into a form which you can analyse and draw meaningful conclusions from in as short a time as possible.
Session 4: Telling your story (90 mins)
This final session will focus on how to take the findings from your data research and pull them together into a coherent story. Data-driven stories often need some kind of visualisation and we will look at how todo these. But visualisation is not the only way to present your findings, so we will discuss when visualisations are necessary and when they’re not.
How to Register?
To apply, email CV and letter of interest to: email@example.com.