Talks - Sebastián Flores: Python and Data Storytelling to the Rescue: Let's Avoid More Deaths by...

Sebastián Flores

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