Data Visualization
- Select chart types that suit comparison, trend, distribution, composition and relationship tasks.
- Apply perception principles and pre-attentive attributes to direct attention to the key message.
- Remove non-data clutter and improve labelling, scales and annotation in an existing chart.
- Design a colour scheme that is consistent, meaningful and accessible to colour-blind viewers.
- Structure a data story with context, insight and a clear call to action.
- Adapt layouts for right-to-left Arabic reports without distorting chart reading order.
- Visual Perception
- Pre-attentive attributes
- Accuracy of visual encodings
- Gestalt principles in charts
- Choosing the Right Chart
- Comparison, trend and ranking charts
- Distribution and relationship charts
- Charts to avoid and why
- Design and Decluttering
- Data-ink and visual hierarchy
- Axes, scales and labelling
- Annotation and emphasis
- Colour and Accessibility
- Sequential, diverging and categorical palettes
- Colour-blind safe design
- Bilingual and right-to-left layouts
- Dashboard Design
- Layout grids and information hierarchy
- KPI cards and supporting detail
- Interactivity without overload
- Data Storytelling
- Narrative structure for data presentations
- Avoiding misleading visuals
- Presenting to executives
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للحصول على كتيب بكامل محتويات الدورة برجاء ملء النموذج التالي ببياناتك الصحيحة

Program Professional Framework
Data Visualization
Program Overview
A well-designed chart lets a decision maker see a pattern in seconds; a poor one hides it or misleads. This tool-independent programme covers the principles behind effective visual communication: how people perceive position, length, colour and shape, matching chart types to analytical tasks, reducing clutter, using colour purposefully and accessibly, designing dashboards and building data stories. Participants critique and redesign real charts and apply the principles in their preferred tool, whether Excel, Power BI or Tableau, with attention to bilingual Arabic and English layouts.
Learning Outcomes
- ✓Select chart types that suit comparison, trend, distribution, composition and relationship tasks.
- ✓Apply perception principles and pre-attentive attributes to direct attention to the key message.
- ✓Remove non-data clutter and improve labelling, scales and annotation in an existing chart.
- ✓Design a colour scheme that is consistent, meaningful and accessible to colour-blind viewers.
- ✓Structure a data story with context, insight and a clear call to action.
- ✓Adapt layouts for right-to-left Arabic reports without distorting chart reading order.
Target Audience
- Data and BI analysts
- Communication and media officers presenting statistics
- Strategy and performance staff preparing executive packs
- Researchers and report writers
Detailed Program Modules
01Visual Perception
- Pre-attentive attributes
- Accuracy of visual encodings
- Gestalt principles in charts
02Choosing the Right Chart
- Comparison, trend and ranking charts
- Distribution and relationship charts
- Charts to avoid and why
03Design and Decluttering
- Data-ink and visual hierarchy
- Axes, scales and labelling
- Annotation and emphasis
04Colour and Accessibility
- Sequential, diverging and categorical palettes
- Colour-blind safe design
- Bilingual and right-to-left layouts
05Dashboard Design
- Layout grids and information hierarchy
- KPI cards and supporting detail
- Interactivity without overload
06Data Storytelling
- Narrative structure for data presentations
- Avoiding misleading visuals
- Presenting to executives
Training Methodology
Applied Project & Assessment
Applied Project
Participants select three charts from their organisation's reports, document their weaknesses, redesign them using the course principles and combine them into a one-page visual brief with a clear headline message and recommended action.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.


