Learn regression through real sports data, then test your model in weekly beginner-friendly challenges where the leaderboard rewards clear thinking.
The Figma-style services become learning paths: two focused chapters and one live application layer.
Chapter 01
One predictor, one outcome. Fit a straight line through sports data and read what it means by hand and in R.
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Chapter 02
Two predictors at once. Read coefficients while holding context steady, then judge the model with adjusted R-squared.
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Leaderboard
Predict a real game's stats using only the R tools your completed chapters unlock. After tip-off, code is revealed.
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Less visual repetition, more rhythm: each chapter moves from explanation to application in a predictable sequence.
The plain-English setup: variables, model goal, and what the learner is solving for.
Every number computed step by step, with the visual support kept secondary to the calculation.
A parallel problem with instant feedback, so the learner can see whether the method has landed.
The fast version in code, mapped back to the by-hand numbers so it does not become magic.
Real scenarios where learners choose the approach, not just repeat the arithmetic.
Start with Chapter 1. No experience assumed, no leaderboard pressure until you want it.
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