Guidelines for Telling a Great Data Science Story

People love stories. People can connect with stories. People remember great stories. Make your data tell a story. If you can make stories come alive with data, people will pay attention.

There is no magic formula for a great story, data or otherwise. Here are some guidelines for telling a great data science story.

  • Clearly state the problem
  • Explain the data
  • Share the struggles of doing the analysis
  • Do not focus on the algorithms
  • Show how the analysis progressed, take your listeners on a journey
  • Finish with something remarkable

The late Hans Rosling could tell as good of a story with data as anyone. Do a quick internet search for his name, and you can easily find his Ted talks or other videos. He provides an excellent model for telling a story with data. It is worth your time to watch some of his videos.

The entire goal of telling a story with data is to get people engaged in the problem.

Leave a comment if you have others tips for telling an effective data science story.


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5 responses to “Guidelines for Telling a Great Data Science Story”

  1. […] jQuery(“.socialMediaOnEveryPost”).addClass(“sgmb-left”) Source link […]

  2. kuldeep Avatar

    Thats very good idea..making data more interesting and plot a story twist.

  3. Data science Avatar

    Thanks for sharing nice information about making any data in a story format with the help data science analysis.

  4. amar Avatar

    Thank you for sharing this wonderful information.

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