Mastering Data Visualisation

This DIXONTECH course is designed for professionals who want to master advanced data visualisation techniques and storytelling strategies to deliver clear, actionable insights. The program dives deeper into visualization design principles, interactive dashboards, and business-oriented storytelling using Power BI, Tableau, and Python visualization libraries. Participants learn how to transform analytical outputs into strategic visual communications that drive executive decisions.

TRAINING TOPICS:

• Advanced Data Visualisation Design Principles

• Data Preparation and Visualization Architecture

• Tools and Platforms for Visual Analytics

• Data Storytelling and Executive Communication

• Designing Interactive Dashboards and Visual Systems

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

By the end of this DIXONTECH training, participants will:

• Master the design of high-impact visualizations

• Create interactive dashboards for business insights

• Translate complex data into strategic narratives

• Apply design psychology and visual hierarchy

• Use advanced tools such as Power BI and Tableau

• Build integrated storytelling dashboards

• Influence executive decisions through visual storytelling

TRAINING IS TAILORED TO:

This course is designed for:

• Senior data analysts and BI developers

• Managers and strategy leaders

• Marketing and financial analysts

• Data scientists and visualization specialists

• Corporate communication and reporting officers

• Researchers and academic professionals

• Anyone seeking to deliver data-driven presentations

TRAINING METHODOLOGY:

DIXONTECH combines expert-led sessions, hands-on design workshops, and data storytelling projects. Participants work with real datasets to design interactive dashboards and executive reports, applying advanced visualization principles. The training emphasizes clarity, engagement, and practical use of visual storytelling for business and analytical excellence.

DAY 1: Advanced Data Visualisation Design Principles

• Understanding advanced visualization concepts and psychology

• Visual encoding and information hierarchy design

• The role of color, typography, and composition

• Designing for clarity, simplicity, and storytelling impact

• Choosing the right visualization for different data types

• Avoiding clutter and distortion in data visuals

• Workshop: redesigning poor visual presentations

DAY 2: Data Preparation and Visualization Architecture

• Structuring and cleaning data for advanced visualization

• Building data models and hierarchies

• Understanding data relationships for dashboards

• Using DAX and data transformation techniques

• Setting up visualization pipelines and connections

• Managing data sources across platforms

• Practical exercise: preparing datasets for dashboard integration

DAY 3: Tools and Platforms for Visual Analytics

• Overview of modern visualization ecosystems

• Power BI advanced reporting techniques

• Tableau storytelling and dashboard interactivity

• Python visualization (Matplotlib, Seaborn, Plotly)

• Integrating Excel visuals with Power BI workflows

• Automation of visualization updates and refreshes

• Project: building a multi-tool visualization solution

DAY 4: Data Storytelling and Executive Communication

• Principles of persuasive data storytelling

• Building a narrative structure around data

• Framing insights for executive decision-making

• Visual emphasis and message hierarchy

• Combining words and visuals for clarity

• Presenting visuals with impact and confidence

• Case study: data storytelling for corporate reports

DAY 5: Designing Interactive Dashboards and Visual Systems

• Dashboard architecture and navigation logic

• Real-time visualization and KPI monitoring

• Designing responsive and adaptive dashboards

• Integrating predictive models into visual dashboards

•