Forecasting made easy with SPSS Statistics

Forecasting with time series analysis has been used in both the public and commercial sectors for decades.  Example applications include:

• Forecasting passenger numbers at ferry and airport terminals
• Estimating inbound call volumes to contact centres
• Predicting the load on information networks based on shift patterns and external events
• Using weather data to estimate visitor numbers at key attractions

In just one hour we will cover:-

• The principles of time series forecasting
• Visualising time series
• Defining periodicity
• Using exponential smoothing methods
• Interpreting model fit
• Incorporating predictor fields to improve forecasting accuracy
• Generating forecasts

Who should attend?

• Anyone who is interested in using the data they have to forecast the future

Some background in analytics, statistics or statistical terminology will be useful but is definitely not essential.

Book your place now.