Professional Certificate in R for Forecasting
-- ViewingNowThe Professional Certificate in R for Forecasting is a comprehensive course that equips learners with the essential skills to apply R in forecasting accurately. The course emphasizes the importance of data-driven decision-making, which is highly sought after in today's data-driven economy.
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โข Introduction to R for Forecasting: R programming basics, data manipulation, and visualization.
โข Time Series Analysis in R: Time series components, decomposition, autocorrelation, and partial autocorrelation functions.
โข Exponential Smoothing Models: Simple Exponential Smoothing, Holt's linear trend method, and Holt-Winters seasonal method.
โข ARIMA Models in R: Autoregressive (AR), moving average (MA), and ARIMA model identification, estimation, and diagnostic checking.
โข Seasonal ARIMA Models: Seasonal differencing, seasonal ARIMA model building and forecasting.
โข Advanced Forecasting Techniques: Long-term forecasting, combining forecasts, and model selection criteria.
โข Vector Autoregression and Forecasting: Multivariate time series analysis, vector error correction models, and forecasting.
โข State Space Models and Kalman Filter: State space representation, Kalman filtering, and smoothing.
โข Evaluation and Communication of Forecasting Results: Performance metrics, statistical tests, and visualization of forecasting results.
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