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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 ,

Celebrating success at the Analysis in Government Awards 2020


Celebrating success at the Analysis in Government Awards 2020
The ceremony recognised excellent work from across the Government Analysis Function
From:
8 January 2021
The virtual awards ceremony for the first Analysis in Government Awards took place on Tuesday 8 December.
Hosted by David Wood (Head of the Government Geography Profession), the Awards celebrated the excellent work being done across the Government Analysis Function. Despite the ceremony being virtual this year, the 150 people that attended made the most of it by congratulating one another on all that analysts have achieved throughout the year. National Statistician Sir Ian Diamond provided an introduction which highlighted the rapid pace at which analysts across government have delivered new analysis to support the pandemic response whilst still delivering analysis in other priority areas. ....

United Kingdom , Northern Ireland , Youtube Governmentanalysisfunction , Analytical Products Team , National Statistician Sir Ian Diamond , Department Of Health Northern Ireland , Ministry Of Defence , Analytical Products Team In Product Management , Ministry Of Justice , Department Of Health , Infection Survey Team , Data Services Team , Analytical Services Directorate , Statistical Reporting Team , Public Health Data Science , Public Health England , Office For National Statistics , Population Health Analysis , Data Linking Team , Government Awards , David Wood , Government Geography Profession , Government Analysis , Statistician Sir Ian Diamond , Collaboration Award , Survey Team ,