This 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 intelligenceThe aim of this course is to provide an overview of best practice approaches for creating and publishing basic data visualisations.
Learn more on Data visualisation e-learningThis 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 PythonDealing with dates and times is something any data analyst will need to do at some point. This course provides an introduction on how to deal with this kind of data.
Learn more on Dates and times in Python