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Structured learning draft

Data Journalism & Visual Storytelling

Use evidence to explain a public-interest problem. You will finish with an evidence brief with a reproducible analysis.

Start first lessonDownload A4 workbook (PDF)Preview guideFormative knowledge check

This open learning manuscript is undergoing course-specific editorial review. It does not provide certification. Progress and notes are stored only in this browser.

Policy & civic techTool stack
D3
Technology marks for Data Journalism & Visual Storytelling, sourced from the CC0-licensed Simple Icons project.
12guided lessons
4focused modules
1reviewable project
PDFoffline workbook

The problem

What this course helps you do

Data Journalism & Visual Storytelling is a structured, practical course covering Data journalism, D3.js, Datawrapper, Flourish, Narrative. It emphasizes explainable methods, checked work and a final outcome that can be reviewed.

Who it is for

Public-interest learners using evidence and technology responsibly.

Prerequisites

  • Basic research and spreadsheet skills

Portfolio-ready project

Produce a reviewable Data Journalism & Visual Storytelling project using Data journalism, D3.js, Datawrapper.

Deliverable: A working Data Journalism & Visual Storytelling artefact plus an evidence-based self-review.

Practice fileEvidence brief templateA source-led public-interest analysis structure.Planning template · MarkdownProject briefDefine the user, outcome, boundaries, evidence and acceptance criteria before building.Printable workbook · PDFComplete course workbookA4-ready lesson prompts, project worksheets, evidence logs and references.

Downloads open without an account. Practice data is fictional; review each file before using it in another system.

Definition of done
  • The output matches the stated outcome.
  • Inputs and decisions are reproducible.
  • Boundary and failure evidence is included.
  • Limitations and responsibility considerations are explicit.

Course plan

From first concept to finished work

Source-led learning

Authoritative references

Course claims are grounded in primary documentation and recognized public guidance. Recheck version-sensitive information before professional use.