This short online course, comprising of two modules, will help you identify and successfully manage ethical issues that may arise as part of statistical research and the production of statistics. It is designed to help you apply ethical principles to your research.
Learn more on Awareness in data ethicsThis course gives an overview of data linkage theory.
Learn more on Awareness in data linkageThis course is for those who want to know what demography is. It is a non-technical course and is not aimed at demographers.
Learn more on Awareness in demographyThis course covers editing (finding and correcting errors in data) and imputation (estimating values for missing or inconsistent data).
Learn more on Awareness in editing and imputationThis short course will provide an overview of why geography matters for statistics.
Learn more on Awareness in geography for statisticsThis 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 basicsThis 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