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Talks - Sebastián Flores: Python and Data Storytelling to the Rescue: Let's Avoid More Deaths by...
Learn how to transform data presentations using storytelling techniques, visualization best practices, and Python tools to create memorable, impactful talks that drive action.
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Data storytelling is crucial for effective presentations - facts alone don’t create impact, emotions drive actions and memory retention
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Key storytelling principles:
- Never reveal the ending upfront
- Focus on important details, skip irrelevant ones
- Show don’t tell - demonstrate rather than explain
- Create a narrative arc with conflict and resolution
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Presentation software recommendations:
- PowerPoint for simple, no-code presentations
- Quarto for talks with related documents
- Jupyter+Rise for workshops requiring live code
- Streamlit for custom interactive presentations
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Visualization best practices:
- Avoid default settings and excessive options
- Direct audience attention to key insights
- Only include numbers where relevant
- Customize visualizations to serve the story
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Tips for better presentations:
- Master one visualization tool thoroughly
- Craft content around peak emotions and strong endings
- Target specific audience personas
- Iterate and refine content multiple times
- Think of AI as an ideation partner, not solution
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People remember presentations based on:
- The most intense emotional moments
- How the presentation ended
- Stories rather than raw data
- Clear narrative structure
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For technical presentations:
- Keep code demos live and interactive
- Focus on showing how things work
- Use tools that allow seamless code integration
- Balance technical detail with storytelling