Data Visualization with AI
AI-assisted data analysis & visualization course online or in person
AI can generate charts in seconds, but faster doesn’t automatically mean better. In practice, the real challenge is knowing what to ask, how to ask it, and what a good outcome actually looks like.
If you simply ask AI to visualize data, AI tends to produce average charts, and given how many bad charts already exist, “average” often means misleading or ineffective. But when you provide AI with clear visualization principles and constraints, it can produce surprisingly strong visuals.
In this workshop, we’ll work with OpenAI ChatGPT, Google Gemini, Anthropic Claude, and Microsoft Copilot. And I’ll share the visualization rules I use and show you how to turn your own standards into reusable AI instructions.
By the end, you’ll know how to use AI for data analysis and visualization, and how to support business users with AI even when you’re not in the room.
Course Duration:
It’s a 4-hour workshop, but we can also condense it into a one or 1.5-hour lecture without the practical exercises, and it works equally well online or in person.
Who Should Attend:
If you are a business manager, data analyst, BI specialist, or data professional looking to delegate routine work to AI and better support business users, this workshop is for you.
Prerequisites:
No prior AI or advanced technical knowledge is required. This workshop works for all levels: you just need access to at least one AI tool (OpenAI ChatGPT, Google Gemini, Anthropic Claude, and Microsoft Copilot). A paid account is a benefit, but not a prerequisite.
Languages:
We can do the workshop in Czech or English - your choice.
Where & How:
Online: MS Teams, Zoom, or whatever platform you like.
In-Person: I can come to your office in Prague, anywhere in the Czech Republic, or nearby countries like Slovakia, Poland, Hungary, Germany, or Austria. And if you’re further away? No problem, I’m happy to travel.
Data Visualization with AI Course Syllabus
1. Where AI can be useful
Understand where AI genuinely helps in data visualization — and where it doesn’t.
Bad AI chart vs. good AI chart vs. human expert chart.
2. Who is a key user of AI-generated analysis and visuals
Define clear use cases for business users and data analysts.
3. Where AI limitations really are
Hint: not in visualization capability.
Learn how to guide AI to create high-quality, interactive charts (demo & exercise).
4. AI for data understanding and analysis
Learn how to move from “analyze this CSV” to effective prompts that produce decision-ready insights.
Get my tested instructions and learn how to write your own (demo & exercise).
5. AI for data visualization
Learn how to move from “visualize this data” to structured prompts based on data visualization principles.
Get my tested instructions and create user-ready, interactive charts with any LLM (demo & exercise).
6. Hands-on capstone exercise
Apply everything in a realistic scenario: from business question, through insight, to charts created just with AI, aiming to reduce your role to passive observer i.e. unexperienced user.
7. Can an AI agent do the job?
Discuss the pros and cons of using AI agents for analysis and visualization support.
8. What to do yourself vs. what to delegate
Wrap-up and reflection on what we have learned.
9. Practical AI tips for everyday work
Use AI for titles, annotations, color palettes, accessibility checks, DAX, Excel formulas, and debugging.
