Certified Data Visualization Professional

Online price: SAR 1800

Course Duration: 5 Day

Duration (Hrs) 20 Hours/Hours

Course date: 26/01/2025

Course date (2): 09/03/2025

Course date (3): 06/04/2025

Course date (4): 11/05/2025

Category: KPI

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Introduction 

Visual communication is effective only when it is aligned with the way people see and think. The course provides insights on the importance of data visualization, fundamental principles, as well as means to increase non-verbal communication skills through effective visualizations.

This course will help you improve communication within your company, through visual displays of quantitative data. You will learn, through practical applications, how to communicate visually in an effective way and how to increase reporting efficiency, leading to a better understanding of the presented data, and thus, to smarter and quicker strategic decisions.

Some of the main aspects addressed by the “Certified Data Visualization Professional” course are the need for a more rigorous approach to creating visual representations of vast information, techniques of standardization and tailored data visualization tools.

Benefits 

  • Receive relevant guidance for developing visual representations in order to discover, understand and communicate information;
  • Create better and more relevant reports by understanding the fundamental concepts in data visualization;
  • Offer intelligible data sets to decision-making parties through creating excellent graphical representations;
  • Improve your performance in presenting data and enhance viewer experience by acknowledging the importance of communication through visual representation;

Learning objectives 

  • Understand the fundamentals of creating and designing a visual representation for your intended users;
  • Select the right communication channel in accordance with the target audience;
  • Learn how to collect and design standardized data inputs and outputs;
  • Apply the design techniques required to create an effective visual representation;
  • Discover key steps in improving your organizational and departmental visual communication.

Evaluation

The certification process is finalized when you complete all stages of the learning experience. You will receive a:

  • Certificate of Completion (soft copy): after completing pre-course activities and passing the Certification Exam;
  • Certificate of Attendance (hard copy): after participating at the three days of on-site training course;
  • Certified Data Visualization Professional diploma (hard copy): after you have successfully completed all of the three stages of the learning experience.

Outline:

1: Introduction into the world of data visualization

 Data visualization parameters

  • Presentation of the data visualization concept;
  • Origins of data visualization;
  • The power of visual communication;
  • The importance of data visualization;
  • Pre-attentive visual attributes;
  • Principles of graphical excellence.

 The data visualization process

  • Acquire;
  • Parse;
  • Filter;
  • Mine;
  • Represent;
  • Reine;
  • Interact.

 Visual communication aids: channel selection

  • Maps;
  • Interactive graphics;
  • Infographics;
  • Presentation software;
  • Video doodles;
  • Spreadsheets;
  • Comic strips;
  • Animations.

 2:  The SFERA model – Part I

 Structure

  • Gridlines;
  • Layouts;
  • Diagrams;
  • Heat maps;
  • Principles of design.

 Format

  • Typography;
  • Iconography; a visual language;
  • Graphs;

 Express

  • Color theory;
  • Color psychology;
  • Color in graphs;

 Report I

  • Reporting principles;
  • Taxonomy of reports:
    • Scorecards;
    • Dashboards;
    • Animations;
    • Infographics;

3:  The SFERA model – Part II

 Report II

  • Reporting text;
  • Reporting numbers.

 Reporting text

  • Word;
  • PowerPoint;
  • Prezi.

 Assess

  • The Data Visualization checklist;
  • Seven rules for getting it right;
  • Disinformation Visualization.

 Real-world data visualization

  • Data visualization software;
  • Visual organizations;
  • The future of data visualization.

Review and Certification Exam

  • Course review;
  • Certification Exam.