Data-driven storytelling - You will learn how to turn numbers and charts into a clear narrative, making your insights easier to explain, better tailored to your audience, and more persuasive in presentations.
Clear, polished slides - You will discover how to design charts and slides that are clean, visually appealing, and focused on key messages, so your audience sees what matters without unnecessary clutter.
Smarter chart selection - You will learn how to match chart types to your goal and data structure, so you can present comparisons, trends, shares, and relationships in a way people quickly understand.
Hands-on tool practice - You will practice building effective visuals in Excel, PowerPoint, and tools like Datawrapper and Flourish, so you can apply the techniques immediately in your everyday work.
Stronger live presenting - You will learn how to select the right information and structure a live data narrative, so you can explain results clearly, hold attention, and strengthen your message with analogies.
Avoiding misleading visuals - You will understand the principles of ethical data visualization, helping you avoid deceptive scales, poor chart choices, and unintentional distortion of findings in reports and slides.
A wider visual toolkit - You will go beyond basic bar, line, and pie charts and explore maps and less standard formats, giving you more ways to present different data types and business context effectively.
AI support for storytelling - You will see how AI can support your work on visuals and narrative, from organizing ideas to speeding up preparation and helping you frame sharper, more compelling conclusions.
Basic data literacy - You should be comfortable reading tables, understanding basic metrics, and drawing simple conclusions from data, so you can focus on presentation rather than analysis basics.
Excel or PowerPoint basics - You should know how to handle basic tasks in Excel or PowerPoint, such as editing data, working with slides, and creating simple charts based on your own materials.
Experience presenting results - It is helpful if you already have some experience presenting results or reports, because the training develops how you tell data stories rather than teaching public speaking from scratch.
Readiness for hands-on work - You should be ready to work actively with examples and exercises, test different visualization approaches, and improve your own materials during the sessions and between modules.
