Introduction to data linkage
- Open to
- Government analysts
- Training category
- Analytical, Data linkage
- Type of training
- Online
- Length
- 14 hours
- Organiser
- Data Science Campus Faculty
- Provider
- Data Science Campus Faculty
- Location
- Online
Data linkage provides insight, informs policy change, and helps answer society’s most important questions by increasing the utility of data.
This self-study course will introduce you to the principles, theory, and practice of data linkage.
Who this course is for
To enrol on this course you need to have completed the “Awareness in data linkage” course. You do not need previous coding experience or any non-standard software to take part in the course.
Learning outcomes
On this course you will:
- learn about the difficulties involved in data linkage
- learn how to prepare datasets before matching and select matching variables
- learn how to account for partial agreement of matching variables
- review different types of linkage methods
- learn how to link very large datasets
- learn how to evaluate the quality of their matches
- gain practical experience in linking data
- design your own linkage methods
You will also be guided through exercises in coding your own linkage methods in Python.
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 Data.Science.Campus.Faculty@ons.gov.uk.
Contact
If you would like more information about this course, please email MQD.Business.Support@ons.gov.uk.