This course will develop your understanding of the reasons you should and could use admin data. It will also introduce the processes, strengths and challenges needed to access admin data.
Learn more on Awareness in administrative dataThis course will introduce the survey development area of question design methodology.
Learn more on Awareness in questionnaire designThis course will cover the basics of sampling and estimation.
Learn more on Awareness in sample design and estimationThis online training module is the third of three bite-size online learning training modules that make up the Time series basics for official statistics’ course. This online training module aims to introduce the concept of seasonal adjustment for time series.
Learn more on Awareness in seasonal adjustmentThis course aims to introduce the concepts of small area estimation, explain the need and give an overview of how it works.
Learn more on Awareness in small area estimationThis online training module is the first of three bite-size online learning training modules that make up the Time Series Basics for Official Statistics’ course.
Learn more on Awareness in time seriesThis course aims to cover the practical application of linking data in Python.
Learn more on Data linkage in PythonThis course aims to cover the practical application of linking data in R.
Learn more on Data linkage in RThis course will develop your understanding of artificial intelligence (AI) , machine learning and data privacy. It will help you understand the data privacy issues present in AI and machine learning, and look at some of the attacks possible and ways to protect data against these.
Learn more on Data privacy in machine learning and artificial intelligenceThis is an introductory session aimed at statistical producers to show how the Code of Practice for Statistics works in practice in the context of the UK statistical system, along with case studies to show how the code has been applied in the past.
Learn more on Introducing the Code of Practice for Statistics