Reproducible Analytical Pipelines (RAP) strategy
This publication will help analysts and users of analysis understand why reproducibility is important and how to achieve it.
Learn more on Reproducible Analytical Pipelines (RAP) strategyIf you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
This publication will help analysts and users of analysis understand why reproducibility is important and how to achieve it.
Learn more on Reproducible Analytical Pipelines (RAP) strategyGuidance on how to create and publish accessible charts.
Learn more on Data visualisation: chartsThis guidance sets out how to collect and report statistics about religion to ensure statistics about this topic are as comparable as possible across government.
Learn more on Religion harmonised standardThis policy outlines the principles to follow when recruiting a new statistical Head of Profession.
Learn more on Recruiting a statistical Head of Profession (HoP)This course focuses on applying coding skills and building confidence, independence and resilience so that you can continue your learning beyond the classroom.
Learn more on Introduction to RThis course is for those who want to know what demography is. It is a non-technical course and is not aimed at demographers.
Learn more on Awareness in demographyThis course focuses on applying coding skills in Python and building confidence, independence and resilience so that you can continue your learning beyond the classroom.
Learn more on Introduction to PythonThe aim of this course is to introduce you to statistics and data science across government and for you to hear first hand about some of the great work that is going on.
Learn more on Government Statistician Group (GSG) Induction courseThe aim of this course is to provide an overview of best practice approaches for creating and publishing basic data visualisations.
Learn more on Data visualisation e-learningThe aim of this workshop is to explore various approaches for effective communication of quality, uncertainty and change while showcasing examples of good practice and providing guidance for statistics producers to better their statistical publications.
Learn more on Communicating quality, uncertainty and change