All Articles & Tutorials
Explore practical guides, step-by-step masterclasses, and foundational definitions across AI, SQL, and data systems — written in plain, human English.
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A review checklist for data analysis before numbers go to your board
An analysis PR checklist turns “looks good” reviews into real quality gates: question, grain, filters, lineage, tests, and narrative before anyone merges a metric change.
Power BI for beginners: how to publish and share reports people trust
Publish Power BI with workspaces, refresh, RLS, and a trust checklist. Shared is not trusted until roles, refresh, and ownership survive Monday morning.
How to make data maps that inform without misleading people
Maps persuade fast, which is why bad bins and raw-count choropleths mislead so well. Use an honest map path: question, aggregation, color scale, and caveats you refuse to…
- 12 min read
Portfolio projects that do not look fake
Portfolio projects fail when they look like homework clones. Build one believable stack: real question, messy data, decisions, checks, and a short memo a hiring manager can trust.
Building a personal learning plan: SQL to Python to AI
A personal learning plan from SQL to Python to AI beats random tutorials. Build a sequenced path, a weekly hour budget, and proof of skill so you stop…
