Most statistics courses hand you a formula for the standard error before you have any picture of what it estimates, and from there everything is symbol-pushing. The idea underneath is simpler and can be watched: if you could run the study again you would get a different answer, and the spread of those answers is what every interval is about. You cannot run it again — but you can resample what you have, which is what the block below does.
Resample your own measurements with replacement. The means pile up, and the middle 95% of them is a confidence interval.
These 18 dots are the whole study: one set of reaction times, and no way to run it again. Draw a resample — 18 of these same measurements, taken with replacement — and watch which dots it picks.
You describe the goal in your own words and it asks questions back until the plan is one you would actually follow. These are the shapes that goal usually takes.
Not a fixed syllabus — the plan is built around your goal and cuts what does not serve it. These are the topics it draws from, and whatever you get wrong comes back until it stops coming back.
The mechanics are the same whatever the subject — a slider is a slider whether it is moving a coefficient or a rate of return. What changes is what it is a slider for.
Or see how it works and what it costs.