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Spotlight on Analysis Function Learning Offer


Date Time
Spotlight on Analysis Function Learning Offer
The Government Analysis Function (AF) has around 17,000 members working across the Civil Service. Established in 2018, the AF brings together analysts of all disciplines by facilitating cross-government and cross-profession collaboration on the highest priority analytical issues.
As a function we want to support you in all aspects of your career and development. Our vision is to have the right people in the right place at the right time, with the right skills to deliver better analysis for better delivery.
To do this, we want to provide you with learning and development opportunities to help you meet your potential, ensuring the delivery of a robust, relevant and future-proof analytical learning offer. ....

Sayma Uddin , Civil Service , Office For Statistics Regulation , Home Office Analysis , Office For National Statistics , Government Analysis Function , Learning Curriculum , Reproducible Analytical Pipelines , Big Data , Data Science , National Statistics , Statistical Transformation , Reproducible Analytical Pipeline , Statistics Regulation , Penny Babb , Learning Hub , Government Skills , Curriculum Unit , Online Skills Tool , Data Visualisation , Natural Language Processing , Machine Learning , Data Linkage , Specialised Data , Cleaning Topics , Bayesian Methods ,

Spotlight on the Analysis Function Learning Offer


Spotlight on the Analysis Function Learning Offer
Why members of the Analysis Function should use the Learning Curriculum
From:
6 May 2021
The Government Analysis Function (AF) has around 17,000 members working across the Civil Service. Established in 2018, the AF brings together analysts of all disciplines by facilitating cross-government and cross-profession collaboration on the highest priority analytical issues.
As a function we want to support you in all aspects of your career and development. Our vision is to have the right people in the right place at the right time, with the right skills to deliver better analysis for better delivery.
To do this, we want to provide you with learning and development opportunities to help you meet your potential, ensuring the delivery of a robust, relevant and future-proof analytical learning offer. ....

Sayma Uddin , Civil Service , Office For Statistics Regulation , Home Office Analysis , Office For National Statistics , Government Analysis Function , Learning Curriculum , Reproducible Analytical Pipelines , Big Data , Data Science , National Statistics , Statistical Transformation , Reproducible Analytical Pipeline , Statistics Regulation , Penny Babb , Learning Hub , Government Skills , Curriculum Unit , Online Skills Tool , Data Visualisation , Natural Language Processing , Machine Learning , Data Linkage , Specialised Data , Cleaning Topics , Bayesian Methods ,

Part one: Five things you didn't know about...


By the Analysis Function Capability Team, Office for National Statistics
The Analysis Function (AF) is a cross-government community of around 17,000 people involved in the generation and dissemination of research, analysis and evidence. Our mission as a function is to support the government to make better decisions in every aspect of policy, delivery and operations, to deliver value for money and to improve the lives of the UK population.
As a Function we aim to improve analytical capability across government by providing opportunities for analysts to collaborate, develop, and share knowledge across profession and departmental boundaries. If you work in analysis in government or public services, you are a member of the AF. ....

United Kingdom , Isabel Ralphs , Liz Fox Tucker , Tony Oconnor , Rhidian Thomas , David Wood , Louise Skelton , James Tarlton , Sophie Ingram , National Referral Mechanism , Royal Geographical Society , Ministry Of Defence , Home Office , Civil Service Success Profiles , Cabinet Office , Scottish Fiscal Commission , Geographical Association , Government Economics Service , British Cartographic Society , Government Statistical Service , Civil Service , Department For Business , United Kingdom Hydrographic Office Global Mangrove Dataset , Civil Service People , Rural Affairs , Ministry Of Housing ,