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Dealing 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 RIn this introductory course, we will cover the basics of Natural Language Processing (NLP) topics.
Learn more on Natural Language Processing (NLP) 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 is a short course and aims to covers the practical application of editing and imputation in Python.
Learn more on Editing and imputation in PythonDuring Analysis in Government month, Nicola Fulton, Deputy Head of External Affairs from the Office for National Statistics (ONS), talks about how teams worked together to increase the reach and impact of cost of living statistics and analysis, so analysts and policymakers could find up-to-date information.
Learn more on Cost of living insights: engaging and diversifying users for greater reach and impactExpress your interest in presenting at DataConnect 2023.
Learn more on Invitation to present at DataConnect23This Analysis in Government Month we will be sharing a weekly summary of the learning outcomes from our live events. Make sure to check this page regularly for your event reflections.
Learn more on Learning outcomes from Analysis in Government Month 2023 live eventsThis webpage will be used to keep users up to date with all the latest latest information related to Statutory Homelessness Statistics collected and published by Department for Levelling Up, Housing and Communities. Information and details of key work-streams will be posted here. More detailed information on how our statistics are used, our user engagement […]
Learn more on Homelessness Case Level Collection (H-CLIC) updatesRAP champions support the implementation of reproducible analytical pipelines across government. This means promoting reproducible analysis (this is, analysis with a clear audit trail that explains how and why it was carried out) and the use of reproducible analytical pipelines (this is the software methods used to make analysis reproducible). Champions are expected to share their […]
Learn more on Reproducible Analytical Pipeline (RAP) champion network