Trend, Seasonality, and Noise
Decomposing a time series.
Data That Lives in Time
A time series is data points recorded in order over time, like daily sales or hourly temperature. The order itself carries meaning. 📈
Three Hidden Ingredients
Almost every time series mixes three pieces: a trend, a repeating season, and random noise. Learning to see them is your first skill here.
All lessons in this course
- Trend, Seasonality, and Noise
- Rolling Windows and Lags
- Stationarity and Differencing
- A First Forecast Baseline