Practical Tips for Using Generative AI in Data Science Workflows
summary
Demonstrations use GPT 4.0 and OpenAI APIs to convert whiteboard images into Quarto HTML on first try (including math), extract tables to downloadable CSVs, simulate a dataset up to 1,000 rows, and run Python inside the chat to produce executable ggplot-style visuals. A Shiny app is built that generates slide background images, writes SCSS via chat completions, and generates Quarto themes and auto-configures GitHub Pages using Recraft.ai, Scribe, and Descript; the workflow is reproducible and works as shown. The FASTER principles guide responsible use.
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chapters (8)
- 0:00Fear to fanatic about GenAI
- 5:27GPT 4.0 features for data scientists
- 18:43Reducing AI fatigue creatively
- 26:43Quarto themes with GenAI
- 33:21Image generators for hex stickers
- 35:48Tools for teaching data
- 41:24Responsible AI with FASTER
- 52:18Q&A on GenAI ethics
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