Learn main forecasting models and methods from basic to expert level through a practical course with Excel.

Learn forecasting models through a practical course with Excel using real world data. It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work or make business forecasting related decisions. All of this while exploring the wisdom of best academics and practitioners in the field.

Become a Forecasting Models Expert in this Practical Course with Excel

Estimate simple benchmarking methods such as random walk.
Identify time series patterns with moving averages and exponential smoothing methods.
Select best methods by comparing forecasting errors’ metrics.
Evaluate if time series is first order stationary or constant in its mean.
Calculate time series conditional mean with autoregressive integrated moving average (ARIMA) models.
Determine models’ parameters and evaluate if forecasting errors are white noise.
Choose best models by comparing forecasting errors’ information criteria.
Test models’ forecasting accuracy by comparing their predicting capabilities.
Become a Forecasting Models Expert and Put Your Knowledge in Practice