Welcome to the MediaNumeric Academy

Develop crucial data-driven skills in content, journalism and storytelling

The MediaNumeric Academy offers a comprehensive online course to students, young professionals or anyone interested in the field of data-driven journalism, creative storytelling and fact-checking.

About the MediaNumeric Academy

The future of content creation is data-driven, and the MediaNumeric Academy is here to equip you with the necessary skills. We provide a cutting edge perspective on the most urgent topics in the context of using big data for factual storytelling, content creation and media production.

The MediaNumeric Academy is a comprehensive online course that will introduce you to the world of data-driven journalism, creative storytelling and fact-checking by exploring the latest developments and tools in the field. In this course, you will learn about the interplay between archival data and storytelling, data literacy, why working with data is crucial in the digital age, and much more.

What will you learn?

The online course consists of three modules that address the most crucial skills needed to master data gathering, analysis and storytelling.

The course’s first module focuses on the search and exploration of multimedia data. You will be introduced to the stages of a data project, from data collection to data preparation and analysis. Through a series of exercises, you will learn about different data collection techniques, the tools and databases used in the process, and potential biases that can occur.

The second module of the course focuses on telling stories with data. You will learn about the basics of multimedia and data-driven storytelling and the different techniques for designing a data storytelling project. You will also be introduced to free data visualisation tools such as Flourish, rawgraphs, Kartis, and Tableau.

In the final module, you will learn all about tracking and debunking misinformation. You will explore the ethical implications of digital media and data manipulation and learn how to identify and debunk fake news through open-source intelligence techniques.

Module 1: Search & Exploration of Multimedia Data

→ Block 1: Data Collection
→ Block 2: Data Analysis
→ Block 3: Tools & Databases
→ Block 4: Getting Data through Archives

Module 2: Telling Stories with Data

→ Block 5: Basics of Multimedia and Data-Driven Storytelling
→ Block 6: Different Techniques for Designing a Data Storytelling Project

Module 3: Tracking & Debunking Misinformation

→ Block 7: Media Ethics & The Social Impact of Journalism
→ Block 8: Dealing with Misinformation, Fake News & Digital Manipulation

Throughout the course, you will be asked to complete exercises that will help you develop your data analysis, visualisation, and communication skills. By the end of the course, you will have a solid understanding of data-driven journalism and its role in the media landscape. The course is completed with a final exercise where you can demonstrate the skills and knowledge you have acquired during the programme.

Frequently asked questions

Who is the MediaNumeric Academy for?


Our programme is designed for a wide range of individuals in the media industry. It is for content creators, storytellers, journalists, media professionals, students, researchers, and anyone else in the (creative) industry.

How much does it cost?

⭐ Free!

Our programme is entirely free. We believe that developing these skills should be accessible to all students and young professionals.

How long does it take to complete the course?

📖 9 hours

A quick run through the course shouldn't take you more 9 hours, but we encourage you to take your time to absorb the knowledge and explore additional materials.

How can I use MediaNumeric Academy in my teaching?

🏫 With ease!

Take a moment to read our short Teacher's Handbook, which is a step-by-step guide created to maximize the simplicity of utilizing the MediaNumeric Academy course in teaching.
The MediaNumeric project has been co-funded by the European Commission under grant agreement No. 621610-EPP-1-2020-1-NL-EPPKA2-KA. This web site reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.