Awareness in seasonal adjustment

Open to
Government analysts
Training category
Type of training
30 to 40 minutes
Data Science Campus Faculty
Data Science Campus Faculty

This training module introduces the concept of seasonal adjustment for time series. It explains why seasonal adjustment is important and gives information about the generic process to achieve seasonally adjusted data series.

You will learn about the concepts of prior adjustment and the effect of calendar arrangement on seasonal adjustment. You will also learn about which time series properties you will need to consider during the seasonal adjustment process, such as the length of the series and revisions. There is also a brief exercise with answers provided.

This is the third in a series of related training modules. There are three modules in total, which must be completed in the following order:

 Learning outcomes

On this course you will learn:

  • about the benefits of seasonal adjustment
  • what time series properties need to be considered before seasonally adjusting
  • about the importance of prior adjustment and calendar effects
  • about common issues associated with seasonal adjustment
  • which software to use for seasonal adjustment

How to book

Please use your Learning Hub account to enrol on this course.

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If you would like more information about this course, please email