Many anthropologists believe our early ancestors built societies around campfire stories about justice, leadership, and government. Your data science teams will also have complex ideas about their data and results. That's why it takes a well-structured story to communicate these insights to the rest of your organization. It's not simply a matter of creating the perfect Excel sheet or a beautiful graph. You need to tell a story that captures your audience's imagination and encourages them to take some action. In this course, instructor Doug Rose explains how to weave together a great data science story and draw your audience into the story to communicate complex ideas and motivate everyone to make real changes.
- List the five threads your team should focus on when spinning a yarn.
- Explain the benefits of using scenarios as story helpers.
- Explore how using conflict in a story can captivate your audience.
- Determine how details will enhance a story and make it memorable.
- Recall the downfalls of using too many visualizations.
- Define vision in the context of data-science storytelling.
- Recognize the features of good storytelling.