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20193APAN5800K005

I've prepared this material for the Fall 2019 course, Storytelling with Data, which I teach at Columbia University.

Course resources

Presentation decks

Lecture 1: Introduction to Storytelling with Data: why communication is important in applied analytics

Lecture 2: Scoping a project, finding data, analyzing, writing it up

Lecture 3: Business writing, audience analysis, visual considerations

Lecture 4: Principles of persuasion and brief proposals

Lecture 5: Analyze before you speak — audience analysis

Lecture 6: The storytelling process

Lecture 7: The storytelling process, encoding data, visual perception

Lecture 8: Effective visuals — grammar and layers

Lecture 9: Frame the story — consumers and information graphics

Lecture 10: Infographics — demonstration and discussion

Lecture 11: Infographic wrap-up; ideas on presentations

Lecture 12 and 13: Student presentations; peer feedback; wrapping up

Additional material

References

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Brady, Chris, Mike Forde, and Simon Chadwick. “Why Your Company Needs Data Translators.” MIT Sloan Management Review (2017): 1–6. Print.

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