Ilinca Barsan A Guide to Data Science as a Creative Discipline | PyData NYC 2022 - 2023

Title : Ilinca Barsan A Guide to Data Science as a Creative Discipline | PyData NYC 2022 Author(s): PyData Link(s) : https://www.youtube.com/watch?v=UAmpOuEMNbM

Some data science styles:

1. The story teller: Great at communication, especially complex topics into simple language, backed by visuals etc.
2. Tinkerer: Experiments with code and ideas, dives right into the code knowing it might not work, gets prototypes up and running quickly, often has a lot of side projects lying around with things like Raspberry Pi's etc.
3. The artisan: Does things efficiently and beautifully, with an emphasis on focus, depth and quality, e.g. clean data pipelines with great documentation etc.
4. The inventor: The scientist, digs deep into the mathematical and scientific details, wants to develop novel solutions to complex problems. Secretly an academic.
5. The visionary: Thinks about the big picture and business impact, use intuition to bring the right people together.

Some general points:

• Collaboration can improve creative performance up to a limit.
• Constraints are creative.