Workshop: Time Series Forecasting and Analysis

The Time Series Forecasting and Analysis workshop will be delivered by our partner Peter Clarke of Deva Statistical Consulting Limited.

Audience

The workshop is designed for analysts who want to make their own forecasts from past data, or who want to assess the effectiveness of a campaign or other factor on the level of business activity.

Prerequisites

Familiarity with basic statistical concepts, such as hypothesis testing and regression, such as could be obtained by attending Amadeus’ business statistics course.

Objectives

By the end of the workshop, delegates should have a sound grasp of the key concepts behind time series forecasting and analysis, and have the confidence to perform their own analysis of time series data. They will have encountered a variety of models, from simple exponential smoothing to ARIMA and structural models, and be able to appreciate the relative strengths and weaknesses of each. Enterprise Guide, SAS/Graph, SAS/STAT and SAS/ETS will be used for the workshop.

*Important Information - Workshop Style*

This workshop concentrates on practical data analysis. There will be very little in the way of lecturing: delegates will be expected to actively contribute to the exploration and analysis of data. Each session will introduce new methodology and build on the methods presented and explored in previous sessions, with the strengths and weaknesses of each compared to alternatives. The written material will not attempt to be a textbook of times series methodology, nor a dictionary of SAS code. It will record the practical steps to be followed to successfully analyse a set of business problems that span a wide range of analysis and forecasting tasks. It will also contain a roadmap to assist with future modelling tasks.