Data Driven Journalism

Bulletproof Data Journalism

by Stijn Debrouwere

This course will teach you everything you need to know to make your data journalism bulletproof.

Make sure you know how to protect your work against all kind of errors that could arise from working with data.

In this course, you will learn more about:

  1. Coincidences and Freak Accidents
  2. Hidden Influences
  3. Cherry Picking
  4. Flaws in the Data
  5. Misinterpretations and Wishful Thinking

Course overview

  • Module 1: Coincidences and Freak Accidents (23:20)
  • Module 2: Hidden Influences (35:33)
  • Module 3: Cherry Picking (17:19)
  • Module 4: Flaws in the Data (22:56)
  • Module 5: Misinterpretations and Wishful Thinking (18:23)
  • Module : Course Recap (10:18)

Meet your instructor

Course instructor

Stijn Debrouwere

Freelance, Data Scientist (BE)


Our other courses

  • Charting Tools for the Newsroom

    Data Visualisation

    Charting Tools for the Newsroom

    by Maarten Lambrechts

    In this course we introduce and learn to use some tools every journalist can adopt to produce graphics that can support or carry a story.

  • Mapping for Journalists

    Data Visualisation

    Mapping for Journalists

    by Maarten Lambrechts

    The vast majority of stories published in the news have a geographical dimension: knowing and telling where something happened is part of good journalism.