Course DMBI-004

Mastering Data Visualisation

In today’s data-driven world, the ability to transform complex datasets into clear, meaningful, and visually compelling... The outline covers Foundations of Data Visualization, Chart Selection and Visual Design, Data Sto...

5 daysClassroom or online
14Upcoming dates
6Cities
€1,625Fees from

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Next online class Live virtual classroom 16 - 20 November 2026 · €1,815 + VAT Next classroom session Munich 16 - 20 November 2026 · €3,225 + VAT

Your week at a glance

Day 1 Foundations of Data Visualization
Day 2 Chart Selection and Visual Design
Day 3 Data Storytelling Techniques
Day 4 Dashboard Design and Reporting
Day 5 Advanced Visualization and Practical Project

Course Schedules Course Overview Course Objectives Target Audience Methodology Daily Agenda

Classroom

14 sessions

16 - 20 November 2026 €3,225 + VAT Register

7 - 11 December 2026 €2,315 + VAT Register

11 - 15 January 2027 €2,830 + VAT Register

8 - 12 February 2027 €4,315 + VAT Register

8 - 12 March 2027 €3,225 + VAT Register

12 - 16 April 2027 €1,625 + VAT Register

10 - 14 May 2027 €2,815 + VAT Register

14 - 18 June 2027 €3,225 + VAT Register

12 - 16 July 2027 €2,315 + VAT Register

9 - 13 August 2027 €2,830 + VAT Register

13 - 17 September 2027 €4,315 + VAT Register

11 - 15 October 2027 €3,225 + VAT Register

8 - 12 November 2027 €4,315 + VAT Register

13 - 17 December 2027 €2,815 + VAT Register

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Online / Live

14 sessions

16 - 20 November 2026 €1,815 + VAT Register

7 - 11 December 2026 €1,815 + VAT Register

11 - 15 January 2027 €1,815 + VAT Register

8 - 12 February 2027 €1,815 + VAT Register

8 - 12 March 2027 €1,815 + VAT Register

12 - 16 April 2027 €1,815 + VAT Register

10 - 14 May 2027 €1,815 + VAT Register

14 - 18 June 2027 €1,815 + VAT Register

12 - 16 July 2027 €1,815 + VAT Register

9 - 13 August 2027 €1,815 + VAT Register

13 - 17 September 2027 €1,815 + VAT Register

11 - 15 October 2027 €1,815 + VAT Register

8 - 12 November 2027 €1,815 + VAT Register

13 - 17 December 2027 €1,815 + VAT Register

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Introduction

Course overview

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.

View full course outline

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

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 actions

Still have questions?

Contact the academy team for availability, in-house delivery, and participant guidance.

In-house Delivery Download Brief

What you receive

Aractech certificate of attendance, issued when you meet the course attendance requirements.
A unique certificate number that anyone can check on our Certificate Verification page.
Five days from 09:00 to 14:00: 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).

The certificate is issued by Aractech. It is not an academic qualification, a professional licence or a certificate awarded by an external professional body. Certificate conditions

Bilingual Delivery Available

The course is delivered primarily in English, including all training materials. Depending on the selected location, a bilingual trainer may also explain key concepts and support discussions in an additional language.

Available language support:

Spanish — Madrid and Barcelona
Turkish — Türkiye
French — France
German — Germany
Arabic — United Kingdom, Spain, France, Türkiye, Germany and the Netherlands

Note: Language availability is subject to trainer availability and must be requested during registration.

Complete course outline

Five focused days of learning and application

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Day 1

Foundations of Data Visualization

09:00–09:45 Importance of data visualization in business
09:45–11:00 Principles of visual perception and design
11:00–11:30 Coffee break
11:30–11:45 Principles of visual perception and design (continued)
11:45–12:30 Types of data and appropriate visual formats
12:30–13:15 Overview of charts, graphs, and dashboards
13:15–14:00 Common visualization mistakes

Day 2

Chart Selection and Visual Design

09:00–09:39 Choosing the right chart for the right data
09:39–10:18 Bar charts, line charts, pie charts, and alternatives
10:18–11:00 Visual hierarchy and layout design
11:00–11:30 Coffee break
11:30–12:05 Visual hierarchy and layout design (continued)
12:05–12:43 Color theory and readability principles
12:43–14:00 Designing for clarity and impact

Day 3

Data Storytelling Techniques

09:00–09:45 Turning data into narratives
09:45–10:30 Structuring a data-driven story
10:30–11:00 Highlighting key insights effectively
11:00–11:30 Coffee break
11:30–11:45 Highlighting key insights effectively (continued)
11:45–13:15 Audience-focused visualization design
13:15–14:00 Combining visuals with written insights

Day 4

Dashboard Design and Reporting

09:00–10:17 Principles of effective dashboard design
10:17–10:56 KPI selection and performance tracking
10:56–11:00 Interactive dashboards and user experience
11:00–11:30 Coffee break
11:30–12:05 Interactive dashboards and user experience (continued)
12:05–12:43 Report structuring and executive summaries
12:43–14:00 Case studies of professional dashboards

Day 5

Advanced Visualization and Practical Project

09:00–09:54 Advanced visualization techniques and trends
09:54–10:48 Introduction to BI tools (Power BI/Tableau concepts)
10:48–11:00 Real-world data visualization project
11:00–11:30 Coffee break
11:30–12:12 Real-world data visualization project (continued)
12:12–13:06 Presentation of dashboards and peer review
13:06–14:00 Best practices and continuous improvement

Course FAQs

Questions about this course

What participants and training managers usually ask before booking Mastering Data Visualisation. Can't find your answer?

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 16 - 20 November 2026. See the course schedules section for the available dates and delivery formats.

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?

Check the course schedules section for currently published classroom and Online / Live sessions.

Where are classroom sessions delivered?

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

How long is the training programme?

The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).