6 posts in this category.
Structured course
A 14-module, in-depth data analytics course written to the standard of a FAANG-level internal training program: deep frameworks, named sources, real trade-offs, and common failure modes for each topic. This course is entirely conceptual and tool-agnostic — no programming language, SQL, or specific software syntax is taught — focusing instead on how to think rigorously about data, regardless of which tool eventually executes the analysis.
You don't need to hire a data scientist or learn to code. You need five specific concepts clearly understood, and here they are.
Google's certificate is a solid, well-known introduction. Here's honestly where it's strong, where it leaves gaps, and who each option is actually for.
You don't need to understand every metric on the dashboard. You need to know which three or four actually matter, and how to read them honestly.
Your feature might not be driving retention at all. It might just be ice cream and drowning wearing a different disguise. Here's how to tell the difference.
More clicks doesn't automatically mean a real difference. Here's what separates a test result you can actually trust from one that only looks trustworthy.
You don't need a data team to know if your startup is working. Five ways to actually read your own numbers, without hiring anyone or learning to code.
