Category: Analytics
Maps that inform without misleading
Maps persuade fast, which is why bad bins and raw-count choropleths mislead so well. Learn an honest map path: question, aggregation, color scale, and caveats you refuse to…
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…
Churn and retention definitions that stick
Churn and retention sound like opposites until logo, revenue, and net metrics tell three stories. Lock definitions for who counts, what “active” means, and which window you report.
How to ask better data questions in meetings
Most meeting chaos is not a dashboard shortage. It is a question shortage. Climb the question ladder from vague curiosity to decision-ready asks, with a card you can…
