This 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 provide participants with an awareness of new coding tools. We will compare them with R and Python and discuss when they are best used.
Learn more on Awareness of new coding toolsThis course focuses on best practice in programming in terms of readability.
Learn more on Best practice in programming – clean codeThis course introduces basic commands and operations performed in the command line interface on computers.
Learn more on Command line basicsThe aim of this workshop is to explore various approaches for effective communication of quality, uncertainty and change while showcasing examples of good practice and providing guidance for statistics producers to better their statistical publications.
Learn more on Communicating quality, uncertainty and changeThis course is designed for anyone who wants to gain a better understanding of the basic considerations for data collection activities and processes. The course will introduce how to design your data collection tool. The course covers qualitative research methods and survey design. We will discuss how qualitative methodologies can be used both for their […]
Learn more on Data collection fundamentalsThis 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 explains how to take the GSS guidelines and practically apply them using the programming language of R. The course will take you from first principles through to producing production ready visualisation.
Learn more on Data visualisation in R and Python