Stats 1: Introduction to Statistics
Eighteen lessons take you from your first bar chart to your first regression line, each pairing a plain-language explanation with an interactive you can drag until the idea clicks. The course follows the syllabus of Statistics 1 (UCG1RM11) at University College Groningen week by week, so if you are on that course, you will find the whole block here in teaching order.
No stats background is assumed, and no formula appears before the picture it describes. The course follows one thread: how a few simple descriptions of data (means, spreads, shapes) become tools for reasoning about people you never measured. Sampling distributions and the central limit theorem make that step possible, and hypothesis testing and confidence intervals complete it. The last lessons cover counts, correlation, and the straight line through a scatterplot.
If you're new, work through it in order, because each lesson builds on the ones before it. If you studied statistics years ago and want a refresher, start at section 1.9 and work forward from sampling distributions. When you're done, Stats 2 continues with ANOVA and the inferential half of regression.