Learn to analyse Earth data — and to trust the answer.
A from-zero path for people strong in code but newer to the maths and Earth science. You'll work on real questions from the first lesson, run real Python in your browser, and pick up the maths only when a task needs it. The part no other course teaches — how to know when an answer is real, and when to refuse — is built into the spine, not bolted on.
Start here
The whole game first — see a real answer appear, then learn what a satellite even measures, then run code yourself with zero install.
1 · The data
Where Earth data lives, how it's shaped, and the one concept that trips everyone up: coordinate systems.
2 · Reading the measurements
What each variable actually is — intuition first, then the band math. Greenness today; heat, rain and the gases next.
3 · Finding a signal
The stats you need to say “something changed” — built intuition-first, only as a task needs them.
4 · Can you trust it?
The part nobody else teaches — and the reason this school exists. Every result has to survive these three.
5 · Put it together
Answer one real question end-to-end, then keep the reference close.
6 · Applications (electives)
Whole-game worked examples in specific domains — dip in once the core clicks.
Prefer one dense reference instead of a path? The handbook is the whole field on one page. Every term is one-lined in the glossary. When you're ready to do it for real: ask a verified question, browse the question library, or read how answers get verified.