Data linkage in Python

Open to
Government analysts
Training category
Analytical
Type of training
Online
Length
6 hours
Organiser
Analysis Function Capability Team
Provider
Analysis Function Capability Team
Location
Online

Description

Performing data linkage is the process of joining multiple datasets together and linking records. It ensures that the resources spent collecting data are most effectively used by increasing the ways each dataset can be used for various research needs. This course aims to cover the practical application of linking data in Python. A similar course will be available for those who prefer working in R.

Learning outcomes

After taking this course you should be able to conduct:

  • pre-linkage (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 on-line. Alternatively, please email GSS.Capability@statistics.gov.uk.