Data Storytelling with Python

Data Storytelling with Python

3h 7mIntermediate2026-08-27

Authors

Anaconda, Inc

Anaconda, Inc

Course details

The best analysis in the world means nothing if no one acts on it. In this course, discover how to transform raw data findings into a clear, persuasive story that drives decisions. Using a real FAA bird-strike analysis as a running example, learn how data storytelling bridges technical work and decision-making. Explore how to size up an audience and tailor your message, distill a complex analysis into a practical narrative, and choose between slide decks and notebooks to deliver it. Discover how to make a clear call to action, navigate organizational politics, and avoid common pitfalls like information overload and rabbit holes. By the end of this course, you'll be able to craft and deliver a focused data story that motivates change. This intermediate-level course is an ideal fit for data scientists, data analysts, Python developers, and anyone who communicates regularly with data.

Learning objectives
Explain the objectives and value of data storytelling.
Tailor a data-driven message to different audiences.
Distill analysis findings into a clear, action-oriented narrative.
Choose between slide decks and notebooks for a given audience.
Apply tactics to navigate organizational politics.
Deliver a focused presentation that motivates change.

Concepts

Introduction

  • Getting started with Anaconda Notebooks

What Is Storytelling

  • Storytelling overview
  • Exploratory vs. explanatory analysis
  • Exercise - Your audience
  • Your objective
  • Exercise - Tell a story

Gathering Context

  • What are you trying to achieve
  • Thinking outside the data - Who, what, when
  • Thinking outside the data - Why, where, how
  • Nussbaumer s communication continuum
  • Exercise - Sizing up the audience

Gathering Findings and Hypotheses

  • Bird strike dataset
  • Exploratory data analysis
  • What story are we going to tell
  • Exercise - Pivoting to another objective

Creating Visualizations

  • Choosing visuals
  • Problematic visuals
  • Avoiding clutter and graphic hacks
  • Exercise - Choose a chart

Telling a Story

  • Framing the narrative
  • Choosing your visual format
  • Stock photos and illustrations
  • Humor, pop culture, and memes
  • AI-generated images
  • Delivering the data story
  • Exercise - Reorganize narrative

Storyteller s Survival Guide

  • Stage fright
  • Difficult questions
  • Politically sensitive topics
  • Practicing diplomacy
  • Remaining ethical
  • Exercise - Remaining ethical under pressure

Conclusion

  • Summary
80,000 Toman