Course : Staging data graphically

Practical course - 3.5 hours - Ref. DVZ
Price : 370 € E.T.

Staging data graphically




A drawing is worth 1,000 explanations... but how do you make the right drawing? What to show? How to arouse interest? With what tools? With what development skills and what distribution? This seminar will answer all these questions, using visual examples of course!


INTER
IN-HOUSE
CUSTOM

Practical course remote class
Disponible en anglais, à la demande

Ref. DVZ
  3.5 hours
370 € E.T.




A drawing is worth 1,000 explanations... but how do you make the right drawing? What to show? How to arouse interest? With what tools? With what development skills and what distribution? This seminar will answer all these questions, using visual examples of course!


Teaching objectives
At the end of the training, the participant will be able to:
Comprendre les étapes d’un projet de développement d’applications de visualisation de données
Master the criteria for choosing data visualization tools and environments
Communicating and deploying a data visualization application

Intended audience
Developers, architects, data scientists, project managers, project directors.

Prerequisites
No special knowledge required.

Course schedule

1
Data visualization: definition, history, typologies

  • Definition, field of study, objectives.
  • Ergonomics, Gestalt theory.
  • Typologies of visual representations.
  • Variables: discrete, continuous, temporal, spatial.

2
Data visualization project

  • Steps, waterfall, iterations.
  • Perimeter of initial data, serendipity.
  • Defining messages and objectives.
  • Choice of representations, definition of interactions.
  • Development, deployment, iterations.

3
Development tools

  • IDEs, text editors. Online and office tools, data formatting.
  • Data visualization software: Tableau, PowerBI, Datawrapper, Infogram, etc.
  • Web APIs: HTML, SVG, Canvas.
  • Front-end development libraries: Angular, React, Vue, Svelte.
  • Data visualization libraries: D3, ThreeJS, ChartJS, Polymaps, SigmaJS, Chartist.js, etc.

4
Deployment

  • Historical media, web and mobile.
  • Continuous integration and deployment.
  • Deployment with cloud tools: Github, Firebase, Netlify.


Dates

Dernières places
Date garantie en présentiel ou à distance
Session garantie
On 9 mars 2026 at 14h
FR
Remote class
Registration
On 15 juin 2026 at 14h
FR
Remote class
Registration
On 25 septembre 2026 at 09h
FR
Remote class
Registration
On 7 décembre 2026 at 14h
FR
Remote class
Registration

REMOTE CLASS
2026 : 9 Mar., 15 June, 25 Sep., 7 Dec.