Publication date : 10/03/2025

Course : Dataviz: the art of visually representing data

Understanding data culture through visualization

Practical course - 3d - 21h00 - Ref. DTZ
Price : 1650 € E.T.

Dataviz: the art of visually representing data

Understanding data culture through visualization



Data visualization accelerates understanding, connects with the visual arts and enables interaction. This training course makes the creation of visual representations accessible to a non-developer audience, through the presentation and use of the best-known turnkey software on the market.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Available in English on request

Ref. DTZ
  3d - 21h00
1650 € E.T.




Data visualization accelerates understanding, connects with the visual arts and enables interaction. This training course makes the creation of visual representations accessible to a non-developer audience, through the presentation and use of the best-known turnkey software on the market.


Teaching objectives
At the end of the training, the participant will be able to:
Understanding the concepts of data visualization or dataviz
Understand the steps involved in data design and visualization
Know the main software solutions on the market, both online and offline
Create your own data visualizations without coding

Intended audience
Analysts, business users and experts, project managers, consultants.

Prerequisites
No special knowledge required.

Practical details
Exercise
Each theoretical contribution is followed by a demonstration by the trainer and practical realizations by the participants.
Teaching methods
Active pedagogy, plenty of exchanges and feedback from the experts, enabling participants to put their ideas into practice quickly and concretely.

Course schedule

1
Introduction to information visualization

  • Definition, concepts and objectives. Role of the user and interaction.
  • Common diagrams: histograms, pie charts, 3D.
  • Multidimensional visualizations: scatter plots, inselberg diagrams.
  • Multi-level visualization: hierarchical data, full zoom.
  • Network visualizations: hierarchical, radial.
  • Map-integrated visualizations: choropleths.
Exercise
Data visualization analysis. Criticism, suggestions for improvement.

2
Graphic semiology: the basis of visualization

  • The human visual system.
  • Visual variables.
  • Perceptive properties.
  • Extension of semiology: movement.
Case study
Use of different visual variables.

3
Microsoft Power BI and Salesforce Tableau

  • Tool installation and presentation.
  • Raw data import.
  • Data consolidation and cleansing, data model refinement.
  • Choice of graphical representations.
  • Iterative formatting of data visualization.
  • Sharing and exporting.
Exercise
Data visualization using Microsoft Power BI with open data. Same practical work with Salesforce Tableau. Comparison.

4
Cloud software: Infogram and Datawrapper

  • Presentation.
  • Raw data import, confidentiality.
  • Data consolidation and cleansing, data model refinement.
  • Choice of graphical representations.
  • Iterative formatting of data visualization.
  • Sharing and exporting.
Exercise
Creating a data visualization using Infogram with open data. Same practical work with Datawrapper. Comparison.


Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Last places available
Guaranteed date, in person or remotely
Guaranteed session

REMOTE CLASS
2026 : 29 June, 18 Nov.

PARIS LA DÉFENSE
2026 : 29 June, 18 Nov.