Stationarity and Differencing
Preparing a series for modeling.
Models Like Steady Data
Most forecasting models assume the series behaves consistently over time. That property has a name: stationarity. 🎯
What Stationary Means
A stationary series has a stable mean and spread that do not drift over time. Its statistical mood stays the same.
All lessons in this course
- Trend, Seasonality, and Noise
- Rolling Windows and Lags
- Stationarity and Differencing
- A First Forecast Baseline