01 · FOUNDATIONS
Foundations
Core concepts and principles of data work
One idea at a time, explained from the problem it was built for — analytics, modeling, governance and applied AI. Tools change; the reasoning underneath does not.
Core concepts and principles of data work
Real-world analytics problems and solutions
Building and maintaining data infrastructure
Practical AI and machine learning applications
Ensuring data quality, privacy, and compliance
Growing as a data professional
The applied-AI writing here works the same way as the rest: how retrieval reuses modeling, how features are dimensions with deadlines, how to check whether an answer is grounded.
Read the AI strand →Nothing published yet.
The first articles will appear here as they go up.
A working notebook on data analytics, modeling, governance and applied AI — written from the problem up, not the tool down.
Read the premise →