A Guide to Data Science as a Creative Discipline
summary
Argues that data science is inherently creative and shows concrete work not just theory: uses DALL·E 2 and GPT-3 as context, trains small neural nets on children’s poetry to generate verse, and prototypes lobby art generators; builds Speaking in Color — a voice + NLP → color product for Sherwin Williams that wins the Creative B2B Lion at Cannes 2022. Describes workflows: remix and borrow, constraints, rapid prototyping (prototype breaks but convinces the client), collaboration patterns and tradeoffs.
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chapters (10)
- 0:00Introduction
- 4:58Data science as creative discipline
- 6:23Finding your creative data type
- 11:17Approach and process as creative work
- 17:55Data collection and constraints
- 18:17Creative output in projects
- 21:07Prototyping and collaboration
- 23:13Communicating insights
- 25:39Adding personality to communication
- 26:21Conclusion and Q&A
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