Data linkage in Python

Open to
Government analysts
Training category
Analytical, Data science
Type of training
6 hours
Data Science Campus Faculty
Data Science Campus Faculty

Data linkage is the process of joining multiple datasets together and linking records. It increases the number of ways that each dataset can be used for various research needs. This means that the resources spent collecting data are most effectively used.

This course covers the practical application of linking data in Python. A similar course will be available for those who prefer working in R.

Learning outcomes

On this course you will learn how to perform tasks including:

  • pre-linkage and preparing data
  • exact matching
  • rule-based matching
  • Score-based matching
  • Fellegi-Sunter probabilistic matching
  • post-linkage and quality evaluation

How to book

Please use your Learning Hub account to access the course online. If you do not have a Learning Hub account, please contact


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

Related courses

Introduction to data linkage

Data linkage in R