Data Visualisation and Dashboard Design Course

Name: Decision-Focused Data Visualisation and Dashboard Design Course
Availability: InStock

Design truthful, accessible charts and dashboards that match decision questions, preserve visual integrity, and guide analytical action.

At a glance

Duration: 5 days
Format: Classroom
Cities: Paris, Kuala Lumpur, Bali, Toronto, Cairo, Munich and more
Next session: 12 – 16 October 2026, Paris
Average fee: 5,800 €

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Decision-Focused Data Visualisation and Dashboard Design Course

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Overview

Decision-Focused Data Visualisation and Dashboard Design Course is a five-day professional course for data analysts, BI professionals, reporting specialists, researchers, and managers who leave with a Data Visualisation Standards and Dashboard Pack. Participants connect audience needs, decision questions, perception, chart choice, scales, semantic notation, visual integrity, dashboard layout, interaction, accessibility, critique, and storytelling. The course addresses visuals that are attractive but misleading, cluttered, inaccessible, or disconnected from decisions. Agile Leaders Training Center develops decision-focused data visualisation.

Who Should Attend

Data analysis functions responsible for turning analytical evidence into clear visual explanations
Business intelligence functions responsible for reports, dashboards, interactions, and distribution
Reporting functions responsible for consistent notation, quality, and management communication
Research functions responsible for presenting comparisons, patterns, uncertainty, and findings
Management functions responsible for defining decision needs and interpreting visual evidence
Governance and accessibility functions responsible for truthful, inclusive, and controlled communication

The course assumes participants can interpret tables, basic statistics, and common charts, and leaves out introductory data analysis, software administration, advanced coding, and external certification preparation.

Departments and Industries

The course supports departments and industries that communicate quantitative evidence through charts, reports, and dashboards.

Finance, performance, strategy, and executive reporting
Retail customer, sales, pricing, and inventory analytics
Manufacturing quality, operations, maintenance, and supply analytics
Healthcare capacity, quality, outcome, and service reporting
Marketing campaign, channel, audience, and conversion analytics
Public-service policy, operations, resource, and outcome reporting

Learning Objectives

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

Analyze audience needs and decision questions
Compare chart types against analytical relationships
Apply scales, notation, hierarchy, and visual integrity controls
Build dashboard layouts, interactions, and navigation paths
Evaluate accessibility, clarity, density, and cognitive load
Build visual stories and conduct structured dashboard critiques

Course Agenda

Day 1: Frame the Visual Decision

Audience, Context, and Decision Question Canvas
Message, Evidence, Comparison, and Action Structure
Data Type and Analytical Relationship Map
Visual Perception and Pre-Attentive Attribute Guide
Visualisation Purpose and Acceptance Criteria

Day 2: Select Truthful Charts and Scales

Comparison, Trend, Distribution, Relationship, and Composition Matrix
Bar, Line, Scatter, Distribution, and Small-Multiple Selection
Scale, Axis, Baseline, and Aspect-Ratio Integrity Checklist
Color, Emphasis, Annotation, and Reference-Line Rules
Uncertainty, Missing Data, and Sample Context Display

Day 3: Apply Reporting Standards and Composition

IBCS SUCCESS Formula for Business Communication
ISO 24896 Business Reporting Notation
Semantic Notation and Consistency Guide
Information Density, Simplicity, and Structure Review
Chart, Table, Text, and Commentary Composition Grid

Day 4: Design Accessible Interactive Dashboards

Dashboard Information Architecture and Wireframe
Filter, Highlight, Drillthrough, and Detail Interaction Map
Keyboard Order, Screen Reader, and Alternative Text Checklist
Color Contrast, Noncolor Cues, Labels, and Focus Design
Dashboard Critique, Usability Test, and Revision Log

Day 5: Practice Data Visualisation

Exercise: Match Decision Questions to Chart Choices
Exercise: Repair Scale, Integrity, and Notation Problems
Exercise: Redesign an Accessible Dashboard
Exercise: Build and Critique a Visual Story
Capstone: Data Visualisation Standards and Dashboard Pack

Practical Exercises

The course uses suggested activities based on reporting scenarios in finance, retail, manufacturing, healthcare, marketing, and public services.

Suggested activity: convert a broad reporting request into an audience profile, decision question, comparison, message, evidence, and acceptance criteria.
Suggested activity: compare chart alternatives and repair misleading axes, scales, baselines, color, density, annotation, and uncertainty displays.
Suggested activity: create a dashboard wireframe with hierarchy, interaction, navigation, labels, keyboard order, alternative text, and noncolor cues.
Suggested activity: run a structured critique and usability test, record issues, revise the visual story, and document reusable standards.

FAQs

Who suits a data visualisation course, and what does it assume?

Data analysts, BI professionals, reporting specialists, researchers, managers, and governance or accessibility functions suit the course; it assumes they can interpret tables, basic statistics, and common charts.

How does data visualization training differ from a dashboard software course?

Data visualization training develops decision framing, chart selection, visual perception, integrity, notation, composition, accessibility, critique, and storytelling, while a software course focuses on configuring a particular product, connecting data, and building its features.

How should chart selection and design follow the analytical question?

Chart selection and design should match whether the question concerns comparison, trend, distribution, relationship, composition, geography, flow, or uncertainty, while considering scale, density, precision, audience, available space, and required action.

What makes accessible data visualisation effective?

Accessible data visualisation uses clear labels, sufficient contrast, noncolor cues, meaningful alternative text, logical reading and keyboard order, restrained motion, understandable language, visible focus, and equivalent access to trends, exceptions, and conclusions.

Which controls protect dashboard visual integrity?

Dashboard visual integrity depends on honest scales, consistent units, relevant baselines, proportional marks, complete context, disclosed uncertainty, governed definitions, source and refresh information, reconciled data, restrained emphasis, and review against the decision question.

Conclusion

Participants take back a Data Visualisation Standards and Dashboard Pack containing an audience map, decision questions, chart-selection matrix, scale and integrity controls, semantic notation, composition grid, dashboard wireframe, interaction map, accessibility checklist, critique log, and visual story. It changes inconsistent graphics into governed decision communication. The pack keeps clarity, truthfulness, inclusion, and action connected.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 41-60 of 74 events

Location	Dates	Duration	Mode	Price
Madrid	Week 17, 2027 26 – 30 April 2027	5 Days	Onsite	€5,700
Chicago	Week 17, 2027 2 – 6 May 2027	5 Days	Onsite	€12,000
Cairo	Week 18, 2027 3 – 7 May 2027	5 Days	Onsite	€4,100
Amsterdam	Week 19, 2027 10 – 14 May 2027	5 Days	Onsite	€5,700
Marbella	Week 19, 2027 16 – 20 May 2027	5 Days	Onsite	€5,700
Baku	Week 20, 2027 17 – 21 May 2027	5 Days	Onsite	€5,000
Athens	Week 21, 2027 24 – 28 May 2027	5 Days	Onsite	€6,700
Abu Dhabi	Week 21, 2027 24 – 28 May 2027	5 Days	Onsite	€4,700
Trabzon	Week 21, 2027 30 May – 3 June 2027	5 Days	Onsite	€6,800
Tashkent	Week 21, 2027 30 May – 3 June 2027	5 Days	Onsite	€4,500
Rome	Week 23, 2027 7 – 11 June 2027	5 Days	Onsite	€5,700
Zanzibar	Week 23, 2027 13 – 17 June 2027	5 Days	Onsite	€5,500
Madrid	Week 25, 2027 21 – 25 June 2027	5 Days	Onsite	€5,700
Accra	Week 25, 2027 27 June – 1 July 2027	5 Days	Onsite	€4,100
Dubai	Week 27, 2027 5 – 9 July 2027	5 Days	Onsite	€4,500
Kuala Lumpur	Week 27, 2027 5 – 9 July 2027	5 Days	Onsite	€5,200
Casablanca	Week 28, 2027 12 – 16 July 2027	5 Days	Onsite	€4,100
London	Week 28, 2027 12 – 16 July 2027	5 Days	Onsite	€5,700
San Diego	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€14,000
Seoul	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€10,000

Frequently asked questions

What does this course cover?

OverviewDecision-Focused Data Visualisation and Dashboard Design Course is a five-day professional course for data analysts, BI professionals, reporting specialists, researchers, and managers who leave with a Data Visualisation Standards and Dashboard Pack. Participants connect audience needs, decision questions, perception, chart choice, scales, semantic…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Data Visualisation and Dashboard Design Course