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Curriculum

  • Sl. No.
  • Chapter
  • Chapter - 1
  • What is Time Series?
  • Chapter - 2
  • Regression vs Time Series
  • Chapter - 3
  • Trend, Seasonality, Noise and Stationarity
  • Chapter - 4
  • Time Series Operations
  • Chapter - 5
  • Moving Average and Smoothing
  • Chapter - 6
  • Exponentially weighted forecasting model
  • Chapter - 7
  • Correlation and Auto-correlation
  • Chapter - 8
  • Holt's linear trend method
  • Chapter - 9
  • Holt's Winter seasonal method
  • Chapter - 10
  • ARIMA and SARIMA

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Time Series Forecasting, this Course and batch also available in other locations View

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