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Course : Developing data visualization applications

tools and frameworks

Practical course - 4d - 28h00 - Ref. DTV
Price : 2520 € E.T.

Developing data visualization applications

tools and frameworks



On completion of the course, you will be able to develop applications for data visualization, analysis and retrieval. You'll master the fundamental principles of data visualization and be able to identify the most appropriate visualizations for your projects.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. DTV
  4d - 28h00
2520 € E.T.

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On completion of the course, you will be able to develop applications for data visualization, analysis and retrieval. You'll master the fundamental principles of data visualization and be able to identify the most appropriate visualizations for your projects.


Teaching objectives
At the end of the training, the participant will be able to:
Understand the key principles of data visualization
Understanding the design of data visualizations
Master the legal framework for data storage and analysis
Using APIs for data visualization
Develop with the main data visualization frameworks (information, networks, diagrams...)

Intended audience
Developers, project managers, data analysts, data scientists, analysts and statisticians, or anyone who wants to get hands-on with data visualization.

Prerequisites
Basic knowledge of software development.

Course schedule

1
Introduction to information visualization

  • Definition, concepts and objectives. Role of the user and interaction.
  • Common diagrams: histograms, pie charts, 3D.
  • Multidimensional visualization: scatter plots, inselberg diagrams.
  • Multi-level visualization: hierarchical data, full zoom.
  • Visualization techniques: fisheyes, hyperbolic view.
  • Network visualization: hierarchical, radial.
  • Visualization by force model: energy model, spring model.
  • The legal framework for data storage and analysis.

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
Animated transitions and interactive captions

  • Definition, concepts and goals.
  • Animations and interactive captions in visualizations.
  • Handling visual variables.
  • Rules to follow.
  • Added value.
Hands-on work
Manipulating visual variables. Create animated transitions.

4
Information visualization tools

  • JavaScript frameworks for data visualization.
  • Data visualization frameworks based on other languages (Java, Python, etc.).
  • A few additional tools.
Hands-on work
Get to grips with Frameworks.

5
Network visualization

  • Network types (scale-free, small-world, etc.).
  • Network analysis (lexical network, social network, text corpus, etc.).
  • Creation of a network-oriented visualization (in JavaScript).
  • Setting up and choosing different interaction levers: full zoom, selection...
Hands-on work
Development of network-oriented visualization applications.

6
Visualizing diagrams

  • Study of a data set.
  • Creation of several interactive diagram-based visualizations (in JavaScript).
  • Implementation and choice of different interaction levers: interactive captions, fly-throughs, etc.
Hands-on work
Development of diagram-based visualization applications.

7
OpenData visualization and mapping

  • Introduction to open data.
  • Visualizing Paris open data with visualization frameworks.
  • Study of JavaScript mapping frameworks.
Hands-on work
Data visualizations based on open data.
PARTICIPANTS
Developers, project managers, data analysts, data scientists, analysts and statisticians, or anyone who wants to get hands-on with data visualization.

PREREQUISITES
Basic knowledge of software development.

TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.

ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.

TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.

TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.

ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Dernières places
Date garantie en présentiel ou à distance
Session garantie

REMOTE CLASS
2026 : 31 Mar., 19 May, 29 Sep.

PARIS LA DÉFENSE
2026 : 31 Mar., 19 May, 29 Sep.