Data quality learning pathway
Data quality is an essential topic in today’s world. Measuring data quality levels can help organisations identify data errors that need to be resolved. The data quality pathway is for beginners who want to improve the quality of data or statistical publication and understand the principles of communicating the quality of statistics while acknowledging the risks of statistical disclosure.
- Understand the importance of quality of analytical evidence.
- Describe the issues with communicating analytical results and how to overcome it.
- Demonstrate the knowledge around statistical disclosure control to protect data.
- Explain how the risk statistical disclosure can be avoided.
This pathway contains four courses.
To help decide if this is the pathway for you, this learning persona is designed to create a realistic representation of the intended learning audience.
Max works in an analytical role handling large amounts of data. He has recently moved to a role which means he will be more involved in statistical publications, something he has no experience of.
Max is competent at acquiring and analysing data and has a good level of analytical skills.
Max would like an overview of best practices when communicating statistics as well as protecting the confidentiality of respondents. He is keen to ensure the data he is using is of good quality and would like to find out how he can do this.
Max would like a mix of trainer-led and self-study options. His preference is trainer-led, but other commitments mean his time is restricted and he would need more flexibility.
The data quality pathway is for beginners who want to improve the quality of data or statistical publication and understand the principles of communicating the quality of statistics while acknowledging the risks of statistical disclosure.
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.