Data linkage learning pathway

Description

Data Linkage is vital for increasing the utility of data and improving quality of datasets by removing duplicated records. This pathway is targeted at those conducting research and data analysis who can expand on the extent of their research by linking records or datasets to find new insights. It is a mix of theory and applications in either R or Python.

Learning objectives

• Be able to design a matching strategy that can produce a reliable linked dataset, suitable for further data analysis.
• Know how to assess the quality of a matching strategy.
• Be able to conduct Data Linkage using R or Python.

Length

This pathway contains four courses.

Persona

To help decide if this is the pathway for you, this persona is designed to create a realistic representation of the intended learning audience.

General background

Saj is an analyst who is now working in a research-based role.

Starting point

Saj handles large volumes of data and would like to refresh his skills.

Perceived needs

Saj is keen to minimise duplication in his work, familiarise himself with R &/or Python to make his work more efficient.

Special considerations

Saj prefers online self-study due to caring commitments and work.

Summary

This pathway is targeted at those conducting research and data analysis who can expand on the extent of their research by linking records or datasets to find new insights. It is a mix of theory and applications in either R or Python.

Enrol on this pathway

You can follow this learning pathway on the Learning Hub.

If you do not have a Learning Hub account, please contact Data.Science.Campus.Faculty@ons.gov.uk.