Intermediate NLP in Python
Learners will learn important components used for modelling text. This includes feature representation and language modelling.
Learn more on Intermediate NLP in PythonIf you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
Learners will learn important components used for modelling text. This includes feature representation and language modelling.
Learn more on Intermediate NLP in PythonThis is a short course and aims to covers the practical application of editing and imputation in Python.
Learn more on Editing and imputation in PythonThis 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 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 analysisData 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 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 PythonThis course covers a range of statistical methods and how to use them within R.
Learn more on Statistics in RThe review Joined up data in government: the future of data linking methods, set out to engage with the data linkage community across government, academia, the third sector and internationally. This was to understand data linkage challenges faced and identify state-of-the-art data linking methods. A set of recommendations for government were formulated as part of […]
Learn more on RSS Social Statistics Section: data linkage methods and qualityThis short course is designed to introduce learners to modern software development approaches.
Learn more on Introduction to Continuous IntegrationThis 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 imputation