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Time series analysis and forecasting: Data Science course | Zoonk

49. Time series analysis and forecasting

Covers timestamps, seasonality, trend, autocorrelation, lag features, backtesting, and forecasting horizons. Learners forecast demand, traffic, revenue, or sensor readings with honest uncertainty.

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