Syllabus
The complete module-and-topic map of the book. This is a living syllabus — new modules and topics are added over time as the book grows from fundamentals toward advanced techniques. Click any module to open its overview, or jump straight to a numbered topic.
More on the way. Modules I to VII build the toolkit: describing data, probability, sampling and inference, comparing groups, correlation and regression with the diagnostics that decide whether a model deserves belief, and the visualization that turns a number into a finding. Module VIII now puts all of it to work on a single dataset, running one question from the raw file to the finished report, and its first two topics are the audit that happens before any estimate exists and the comparison that follows it. Two more follow. Since this book is never really “finished,” check back here for the latest topic map.