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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 modellingData analysts collect, organise and study data to provide business and operational insight. They work across a broad range of areas and topics. Data analysts understand, manipulate and accurately analyse data to provide insight about a topic for internal and external audiences. They make complex topics easier for everyone to understand, including non-specialist audiences. Typical […]
Learn more on Role profile: data analystDescription Data visualisation is an interdisciplinary field that deals with the graphic representation of data. Visualising data makes it easier to spot trends, patterns, interpret results and speeds up the decision-making process. The data visualisation pathway provides you with a strong conceptual understanding of principles surrounding designing tables and graph to effectively communicate your results […]
Learn more on Data visualisation learning pathwayThis course explores the key principles used in all aspects of the production and dissemination of official statistics. Topics are introduced with some presentations, but learning is mainly driven through activities, case studies and discussions that draw on participants’ own experiences, knowledge and views.
Learn more on Government Statistician Group (GSG) – Foundation courseOn this page you can find a glossary of terms used across the Analysis Function website. If you’re unable to find the term you’re looking for, please email Analysis.Function@ons.gov.uk.
Learn more on GlossaryRAP requires one or more programming languages, and a version control system. There are no other requirements. Some other tools are highly recommended. Slack for conversing with the RAP community and other people working with data in the UK civil service. The Gov Data Science Slack has many active members across the civil service. The […]
Learn more on Infrastructure for Reproducible Analytical Pipelines (RAP)Data 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 linkageStatistical coherence is about bringing together outputs on the same topic to better explain the part of the world they describe. This can be across the four countries of the UK where policy making has been devolved (such as in housing or health) or where multiple producers are publishing statistics on the same topic (such […]
Learn more on Coherence of statisticsBryony Dyssell and Jessica Atkins blog about the creation of the coronavirus (COVID-19) Question Bank.
Learn more on Have you got a question about COVID-19?Will Langdale blogs about the importance of data science.
Learn more on Using data for the public good