Awareness in editing and imputation
This 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 imputationIf you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
This 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 online event will look at the importance of collaboration between policy professionals and analysts.
Learn more on Analysis skills within the Policy Profession – Workshop 3 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 will teach you how to build packages using your own custom functions and import them in both Python and R.
Learn more on Packaging and documentationThis is a short course and aims to covers the practical application of editing and imputation in R.
Learn more on Editing and imputation in RThis course is for producers of index numbers or people who want to understand how they are produced.
Learn more on Intermediate index numbersThis is a short self-study course on hypothesis testing.
Learn more on Hypothesis testing in RThis short course is designed to introduce learners to Bayesian analysis and how it can be applied within both the R and Python programming languages.
Learn more on Introduction to Bayesian data analysisThe course is a series of modules exploring quality issues related to predictive modelling.
Learn more on Quality assurance of predictive modellingThis course will give you experience using the SQL methods of database querying, manipulation and editing.
Learn more on Foundations of Structured Query Language (SQL)