Courses
E-Learning
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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