Natural Language Processing (NLP) in R
In this introductory course, we will cover the basics of Natural Language Processing (NLP) topics.
Learn more on Natural Language Processing (NLP) in RIf you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
In this introductory course, we will cover the basics of Natural Language Processing (NLP) topics.
Learn more on Natural Language Processing (NLP) in RThis 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 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 designed to introduce learners to object orientated programming in Python.
Learn more on Introduction to object orientated programming 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 statisticsThis 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 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 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 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 Python