This 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 covers what is required to effectively manage career progression. It explores career challenges and how they can be overcome. It also looks at what support is available to help develop your career.
Learn more on Career checkpoint courseThis 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 will introduce how to design your data collection tool. The course covers qualitative research methods and survey design.
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 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 intelligence