Introduction to Data Linkage

Open to
Government analysts
Training category
Type of training
Face to face, Online
Four half day sessions
Analysis Function Capability Team
Analysis Function Capability Team


This course consists of a series of online taught classes, aimed at introducing participants to the principles, theory, and practice of data linkage.

Data linkage provides insight, informs policy change, and helps answer society’s most important questions by increasing the utility of data.


Learning outcomes

By the end of the course, participants will:

  • understand the difficulties involved in data linkage
  • know how to prepare datasets before matching and select matching variables
  • know how to account for partial agreement of matching variables
  • have reviewed different types of linkage methods
  • know how to link very large datasets
  • know how to evaluate the quality of their matches
  • have gained practical experience in linking data
  • have designed their own linkage methods

Participants will also be guided through exercises in coding their own linkage methods in Python. No prior coding experience or non-standard software will be required for these exercises.

How to book

To book a place on a course please email