Certificate Programme in Time Series Forecasting for Logistics
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About this course
4 Advanced certification for logistics professionals
For professionals in the logistics industry, this programme is designed to demonstrate expertise in the art of time series forecasting. With 4 modules, you'll learn to apply cutting-edge techniques to predict and visualize patterns in supply chain data, providing strategic insights to drive business growth. With UNN's hands-on approach, you'll be fully prepared to make informed decisions in AP, meet regulatory requirements, and stand out in your career. Start your journey today and explore the possibilities of this revolutionary programme!
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Course details
1โข Introduction to Time Series Forecasting (4.3 timeframe)
2โข Basic statistical concepts (3.2 timeframe)
3โข Time Series decomposition: trend, seasonality, and ARIMA (4.4 timeframe)
4โข Forecasting techniques: ARIMA, Exponential Smoothing, and Seasonal Decomposition (4.3 timeframe)
5โข Time Series univariate and multivariate models (4.4 timeframe)3
3โข Residual analysis and model validation (4.3 timeframe3
3โข Visualization of Time Series data: line plots and moving averages (3.2 timeframe3
4.4 Plane and Fli dilevel Analysis)
3.4 Neural networks and machine learning in Time Series Forecasting (3.4 timeframe3
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Certificate Programme in Time Series Forecasting for Logistics
Certificate Programme in Time Series Forecasting for Logistics
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