[Pieter van der Hijden] - Fab Futures - Data Science

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Welcome to Pieter's Datascience pages

• Fab Foundation / Academany / Fab Futures / DataScience Course
• Author/Teacher: Neil Gershenfeld
• Intake: 2025 (sessions November-December 2025)
• Participant: Pieter van der Hijden

Data science textbooks usually introduce a list of steps for data science projects. They're generally similar, and it doesn't really matter which step structure and naming you prefer. In the presentation "Making research software reproducible and sustainable" by Saranjeet Kaur Bhogal during FAB23 in Bhutan, I came across the accompanying illustration of Scriberia*. It's not only a lighthearted and illustrative cartoon, but also an indication of data science as a cyclical process. Therefore, I'll try to use the terminology from this illustration, both for each session of this course and for the final project as a whole.

*) The Turing Way Community, & Scriberia. (2024). Illustrations from The Turing Way: Shared under CC-BY 4.0 for reuse. Zenodo. 10.5281/ZENODO.3332807

Weekly Assignments

• Session 1 - Introduction
• Session 2 - Tools
• Session 3 - Fitting
• Session 4 - Machine Learning
• Session 5 - Probability
• Session 6 - Density Estimation
• Session 7 - Transforms
• Session 8 - Final Presentation