Mastering Data Visualisation

Course DMBI-004

Mastering Data Visualisation

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Classroom

15 sessions
5 - 9 October 2026 €2,875 Register
16 - 20 November 2026 €3,215 Register
7 - 11 December 2026 €2,425 Register
11 - 15 January 2027 €3,230 Register
8 - 12 February 2027 €4,215 Register
12 - 16 April 2027 €4,215 Register
10 - 14 May 2027 €2,875 Register
9 - 13 August 2027 €3,230 Register
13 - 17 September 2027 €4,215 Register
11 - 15 October 2027 €3,215 Register
8 - 12 November 2027 €4,215 Register
13 - 17 December 2027 €2,875 Register
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Online / Live

15 sessions
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Introduction

Course overview

Why Attend

In today’s data-driven world, the ability to transform complex datasets into clear, meaningful, and visually compelling insights is a critical skill. Data visualization is not just about creating charts—it is about telling a story with data that supports better decision-making. This course equips participants with the principles, tools, and techniques required to design effective visual representations of data that improve understanding, communication, and business intelligence. By attending, you will learn how to turn raw data into impactful dashboards and visuals that influence strategic decisions.

Course Methodology

This course is highly practical and hands-on, combining short theoretical sessions with real-world visualization exercises. Participants will work with datasets to build charts, dashboards, and reports using industry-standard tools such as Excel advanced visualization features and Power BI concepts. Case studies and design critiques will be used to improve clarity, accuracy, and storytelling ability. Interactive workshops will focus on transforming complex data into simple, actionable insights.

Course Objectives

By the end of this course, participants will be able to:

  • Understand core principles of effective data visualization
  • Select appropriate chart types for different data sets
  • Design clear and impactful dashboards and reports
  • Apply data storytelling techniques for business communication
  • Improve readability and interpretation of complex data
  • Use visualization tools to present analytical insights effectively
  • Avoid common visualization mistakes and misrepresentation of data
  • Support decision-making through visual analytics

Target Audience

  • Data Analysts and Business Analysts
  • Business Intelligence Professionals
  • Engineers and Technical Staff working with data
  • Managers and Decision Makers
  • Financial and Operational Analysts
  • Anyone working with reporting and dashboards

Target Competencies

  • Data interpretation and visual thinking
  • Dashboard design and reporting skills
  • Storytelling with data
  • Analytical communication
  • Use of BI and visualization tools
  • Critical thinking in data presentation
  • Decision support through visual insights

What you will achieve

Learning objectives

  • Understand core principles of effective data visualization
  • Select appropriate chart types for different data sets
  • Design clear and impactful dashboards and reports
  • Apply data storytelling techniques for business communication
  • Improve readability and interpretation of complex data
  • Use visualization tools to present analytical insights effectively
  • Avoid common visualization mistakes and misrepresentation of data
  • Support decision-making through visual analytics

Who should attend

Target audience

  • Data Analysts and Business Analysts
  • Business Intelligence Professionals
  • Engineers and Technical Staff working with data
  • Managers and Decision Makers
  • Financial and Operational Analysts
  • Anyone working with reporting and dashboards
  • Target Competencies
  • Data interpretation and visual thinking

Methodology

Learning approach

  • This course is highly practical and hands-on, combining short theoretical sessions with real-world visualization exercises. Participants will work with datasets to build charts, dashboards, and reports using industry-standard tools such as Excel advanced visualization features and Power BI concepts. Case studies and design critiques will be used to improve clarity, accuracy, and storytelling ability. Interactive workshops will focus on transforming complex data into simple, actionable insights.

Course content

Five focused days of learning and application

Day 1

Foundations of Data Visualization

  • Importance of data visualization in business
  • Principles of visual perception and design
  • Types of data and appropriate visual formats
  • Overview of charts, graphs, and dashboards
  • Common visualization mistakes

Day 2

Chart Selection and Visual Design

  • Choosing the right chart for the right data
  • Bar charts, line charts, pie charts, and alternatives
  • Visual hierarchy and layout design
  • Color theory and readability principles
  • Designing for clarity and impact

Day 3

Data Storytelling Techniques

  • Turning data into narratives
  • Structuring a data-driven story
  • Highlighting key insights effectively
  • Audience-focused visualization design
  • Combining visuals with written insights

Day 4

Dashboard Design and Reporting

  • Principles of effective dashboard design
  • KPI selection and performance tracking
  • Interactive dashboards and user experience
  • Report structuring and executive summaries
  • Case studies of professional dashboards

Day 5

Advanced Visualization and Practical Project

  • Advanced visualization techniques and trends
  • Introduction to BI tools (Power BI/Tableau concepts)
  • Real-world data visualization project
  • Presentation of dashboards and peer review
  • Best practices and continuous improvement

FAQ

Frequently asked questions

What does Mastering Data Visualisation (DMBI-004) cover?

This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on 5 - 9 October 2026, with additional classroom dates and mirrored Online / Live options listed in the course schedules section.

Who should attend this course?

Data Analysts and Business Analysts, Business Intelligence Professionals, Engineers and Technical Staff working with data

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Yes. The course detail page includes both classroom sessions and Online / Live sessions, with online options aligned to the same course dates for easier planning.

Where are classroom sessions delivered?

Current classroom venues include Barcelona, Munich, London, Amsterdam, Geneva.

How long is the training programme?

The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 accredited training hours.