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This is a short self-study course on hypothesis testing.
Learn more on Hypothesis testing in PythonData linkage provides insight, informs policy change and helps answer society’s most important questions by increasing the utility of data. This self-study course will introduce you to the principles, theory and practice of data linkage.
Learn more on Introduction to data linkageThis course covers a range of statistical methods and how to use them within R.
Learn more on Statistics in RThis course aims to cover the practical application of linking data in Python.
Learn more on Data linkage in PythonEsther Sutherland and Ian Boreham blog about the results of an online survey asking users for their thoughts on housing statistics.
Learn more on How we listened to users to improve housing and planning statisticsDealing 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 PythonThe course is a series of modules exploring quality issues related to predictive modelling.
Learn more on Quality assurance of predictive modellingThis online event will look at the importance of collaboration between policy professionals and analysts.
Learn more on Analysis skills within the Policy Profession – Workshop 4 of 4This guidance sets out how to collect and report statistics about qualifications to ensure statistics about this topic are as comparable as possible across government.
Learn more on Qualifications harmonised standardThis course is for producers of index numbers or people who want to understand how they are produced.
Learn more on Intermediate index numbers