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.

Key takeaways
  • Data storytelling is crucial for effective presentations - facts alone don’t create impact, emotions drive actions and memory retention

  • 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
  • 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
  • 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
  • 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
  • People remember presentations based on:

    • The most intense emotional moments
    • How the presentation ended
    • Stories rather than raw data
    • Clear narrative structure
  • 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