Time Series and Forecasting

A time series is a set of (dependent) observations recorded over some period of time. The need for analysing and forecasting such data sets arises in many areas, particularly in economics, engineering and the natural and social sciences.

Typical Time Series & Forecasting projects:

  • In econometrics, the opening price of a share of stock can be forecast
  • In transportation, the number of vehicles on a planned motorway or bridge can be forecast
  • In meteorology, the state of the atmosphere for a future time and a given location can be forecast

Time Series & Forecasting can be used to answer questions such as:

  • How much do our processes vary through time?
  • How can we forecast what will happen in future?
  • How can we smooth out short-term fluctuations to highlight longer-term trends or cycles?

The course content includes time series plots, trend analysis, decomposition, moving averages and other smoothing methods.

Both our standard and bespoke courses are suitable for those with no prior knowledge of Time Series & Forecasting or for those who require a refresher programme.

For further details contact ISRU.

 

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