Data journalism
An educational series on data journalism: from finding stories in data and newsroom workflows to practical cases, analysis, and visualization
Experts: Denys Hubashov, Roman Kulchynskyi, Serhii Mikhalkov, +1
This educational series is dedicated to data journalism — a modern field that combines working with data, analysis, and the creation of socially relevant stories. The series covers the full data journalism workflow: from understanding core concepts and finding story ideas in data to analysis, visualization, and publishing.
Topics include:
- fundamentals and philosophy of data journalism;
- newsroom organization and team workflows;
- data search, preparation, and analysis;
- practical cases with open data;
- tools for analysis and visualization, including zero-code solutions;
- principles of effective and ethical visualization;
- examples of top international data journalism projects.
The series is designed for journalists, students, analysts, and anyone interested in learning how to find stories in data and produce data-driven content without advanced technical skills.
The educational series was created for the Diia.Education platform by the NGO Data Journalism Agency (Texty.org.ua), in cooperation with the Ministry of Digital Transformation of Ukraine, within the framework of the interregional project "Promoting Good Governance and a Positive Business Climate in the OSCE Region through Digitalization and the Use of Open Data", implemented by the Office of the OSCE Coordinator of Economic and Environmental Activities.