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Course : Big data, analysis, data visualization and data storytelling

Practical course - 3d - 21h00 - Ref. YJB
Price : 2360 CHF E.T.

Big data, analysis, data visualization and data storytelling


Average of customer reviews Average of customer reviews Average of customer reviews Average of customer reviews
4,2 / 5

Required course

This course will enable you to add value to your presentations and capture your audience's attention by telling a story. You'll learn how to select graphic representations, build a story and illustrate it with relevant graphics and inspiring visualizations.


INTER
IN-HOUSE
CUSTOM

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

Ref. YJB
  3d - 21h00
2360 CHF E.T.

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This course will enable you to add value to your presentations and capture your audience's attention by telling a story. You'll learn how to select graphic representations, build a story and illustrate it with relevant graphics and inspiring visualizations.


Teaching objectives
At the end of the training, the participant will be able to:
Be able to design document templates adapted to the company's business needs
Know how to use various graphic visualization and storytelling techniques to add value to data
Master a simple and effective method of data restitution
Select the right graph to represent the right data
Know the tools for reporting results (Tableau Software)

Intended audience
Anyone in charge of reporting analyzed data.

Prerequisites
Basic knowledge of business intelligence and big data.

Practical details
Teaching methods
Training alternates theory and practice. A great deal of practical work is carried out throughout the course.

Course schedule

1
Data visualization or the discovery of graphic grammar

  • From numbers to graphics.
  • Playing with 3 dimensions.
  • The essential concepts of graphic grammar.
  • Colors and shapes: how to choose them.
  • Detailed presentation of Tableau Software: menus, windows, functions, vocabulary.
  • Move from the idea of a graph to its physical representation, then to its formalization in a tool.

2
Data storytelling: an introduction

  • What is storytelling?
  • Data storytelling: applying storytelling techniques to corporate data.
  • Presentation and critical analysis of Apple's and Hans Rosling's data storytelling methods.
  • Storytelling ideas.
  • Data storytelling.

3
Building your story

  • The pitch. The script. The narrative outline.
  • Application of the scientific methodologies of the Gustav Freytag pyramid and phase alternation.
  • The role of characters in the story.
  • 10 rules for writing a good presentation.

4
The tools

  • Overview of storytelling functions in business intelligence tools.
  • Tableau Software's data storytelling module.
  • Overview of other tools: graphic representation tools, development tools.

5
Best practices in data storytelling

  • The role of the presenter.
  • Presentation scripting.
  • How to "Be".
  • 10 rules for remembering your presentation.


Customer reviews
4,2 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
MARIA C.
28/04/26
3 / 5

Le formation devrait être beaucoup plus dense, sinon il faut condenser cette formation sur 1 jour maximum
MARTIN S.
28/04/26
3 / 5

Pas assez de théorie.Les présentations ne sont pas sourcées.Les données des exercices ne sont pas propres.Le contenu est trop faible sur 3 jours.
GOMRI SAFAA E.
28/04/26
4 / 5

Les QCM proposés ne correspondent pas totalement au contenu du cours.

> Show more comments


Publication date : 09/30/2025


PARTICIPANTS
Anyone in charge of reporting analyzed data.

PREREQUISITES
Basic knowledge of business intelligence and big data.

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

Last places available
Guaranteed date, in person or remotely
Guaranteed session
From 2 to 4 September 2026 *
FR
Remote class
Registration
From 4 to 6 November 2026
FR
Remote class
Registration
From 14 to 16 December 2026
FR
Remote class
Registration

REMOTE CLASS
2026 : 2 Sep., 4 Nov., 14 Dec.