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The course is a series of modules exploring quality issues related to predictive modelling.
Learn more on Quality assurance of predictive modellingThis course aims to cover the practical application of linking data in R.
Learn more on Data linkage in RData 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 is a short self-study course on hypothesis testing.
Learn more on Hypothesis testing in PythonLearners will learn important components used for modelling text. This includes feature representation and language modelling.
Learn more on Intermediate NLP in PythonThis 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 self-study course on hypothesis testing.
Learn more on Hypothesis testing in RThis is an Introduction to Natural Language Processing, and covers the main concepts around text cleaning, processing, exploring datasets, and becoming familiar with working with text based data in Python.
Learn more on Introduction to NLP in PythonThis short course is designed to introduce learners to modern software development approaches.
Learn more on Introduction to Continuous IntegrationThis 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 4