Data & the question
How observations are obtained, what is being measured, and how the question shapes an analysis.
Academy · Field 03
Statistics
Learn to ask what data can tell us, and what a conclusion depends on.
In development
A proposed direction
Follow the reasoning from data to inference.
These are proposed areas of study. The course structure, prerequisites, and lesson sequence are still being developed.
Models & assumptions
Statistical models, their assumptions, and the relationship between a useful simplification and the data it describes.
Estimation & uncertainty
Estimators, sampling variation, and ways of expressing the uncertainty around a numerical answer.
Inference & interpretation
Evaluating evidence, comparing explanations, and communicating conclusions with their conditions and limits.
The intended experience
A course with room to think.
Lessons & materials
Recorded explanations, written notes, and problems are planned for a dedicated course workspace.
Live board sessions
Interactive teaching is planned around a digital writing board, with questions and discussion during class.
A course discussion
A separate student forum is planned for each course, with space for questions, shared reasoning, and instructor replies.
These academy features are planned and are not available on the current public site.
Explore now
See an idea take shape.
The free Gaussian process explorer is already available in your browser. Add observations and investigate how a model responds.