This article describes our work with the National Institute for Health and Care Excellence (NICE), using Natural Language Processing to identify documents and recommendations that are relevant to guidance that they are reviewing.
Read more on Supporting healthcare guidance recommendations using natural language processing
The relationship between the mentor and mentee is vital to successful outcomes on the Data Science Accelerator programme. Daniel O’Callaghan (Forestry Commission) and Sam Taylor (DWP) talk about their relationship that helped to deliver a successful project.
Read more on How effective mentoring relationships are growing data science skills and capacity
In 2021, the ONS-UNECE machine learning group demonstrated the benefits of international cooperation for advancing machine learning in official statistics.
Read more on How international collaboration is advancing machine learning in official statisticsItem Lead Discussion points 1 Introductions Tom Smith Tom welcomed members to the meeting of the Advisory Board. He…
Read more on Data Science Campus Advisory Board – 4 February 2021
The Data Science and Data Visualisation Accelerator mentoring programmes will open for applications in January 2022.
Read more on Boost your data science and visualisation skills in 2022!
We have released a new version of our open codebase to enable the Traffic Cameras project to run on a single, stand-alone laptop as well as on Google Cloud Platform, making it more accessible to users without cloud infrastructure.
Read more on Estimating vehicle and pedestrian activity from town and city traffic cameras
Our FCDO hub’s mentorship model has helped countries, including Rwanda and Vanuatu, deliver in-house data science projects with significant impact, while also creating a flourishing sustainable ecosystem of data scientists.
Read more on Making an international impact with data science mentoringCase studies from our Graduate Data Scientists talking about their experience in the programme.
Read more on Case studies from Graduate Data Scientists
Hosted by the ONS’ Data Science Campus and Health Analysis Team, this brand-new seminar series is an exciting opportunity to hear about recent developments in health data science, to generate ideas, and to help build the health data science community
Read more on Health Data Science Seminar Series
In 2021, our highly successful Data Science Graduate Programme has been expanded across the UK pubic sector. We have offered 50 places on the programme, located in 10 public sector organisations. 25 places were offered to new graduates, selected from 511 applications. An additional 25 places have also been offered to 25 analysts already in posts, who want to significantly increase their data science skills.
Read more on Graduate Induction Week
This report summarises our work to meet widespread demand for better automated and higher quality solutions to this problem, by using machine learning (ML) methods to improve the match rate and accuracy of automatic classification of SIC and SOC classifications.
Read more on Automated coding of Standard Industrial and Occupational Classifications (SIC/SOC)
This summer, data science apprentices in our faculty worked with young people from disadvantaged socio-economic backgrounds, introducing them to data science and supporting them to start developing skills in the field.
Read more on Supporting improved social mobility through data science
In this guest blog, Robyn Hunt from the ONS travel and tourism review team looks at using mobility data to model estimates from the International Passenger Survey.
Read more on Using Mobile Phone Data for Enhancing International Passenger Survey Traveller Statistics
The Data Science Campus Faculty equips practitioners across the UK public sector and internationally with leading-edge skills in data science.
Read more on Data Science Campus Faculty
Description Analysis is a costly venture. Reporting is time-consuming, laborious work that often involves analysts disappearing for months behind a monitor. Once a report is…
Read more on Reproducible Analytical Pipeline Journey
Description Effective data visualisation is impactful, insightful and engaging. Well-considered charts can open the concepts conveyed in your data to a…
Read more on Data Visualisation Learning Journey
Description It is a truth well established that today’s world is awash with data and just about all of it…
Read more on Text Analysis Learning Journey
Description One of the most challenging aspects of public services is pressure resulting from changing demand. This makes resource allocation…
Read more on Predictive Analysis Learning Journey
This course catalogue provides you with information about the analytical courses available on the Office for National Statistics’ Learning Hub.
Read more on Course catalogue
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Read more on Protected: Data Science Campus Faculty
We worked with Statistics Canada to help build data science skills in the Caribbean community, delivering virtual Reproducible Analytical Pipelines training to 12 nations over 5 time zones.
Read more on Taking Reproducible Analytical Pipelines on a virtual tour: first stop the Caribbean
Many countries in the developing world lack regular estimates of road traffic activity. To address this, we applied machine learning techniques to open-source satellite data to generate estimates of traffic volume in Kenya, East Africa.
Read more on Detecting Trucks in East AfricaOn Wednesday 14 July 2021, we held a virtual open day for prospective students of the Master’s in Data Analytics…
Read more on MDataGov open day 2021
As a Data Scientist/Analyst at the Campus, you will have a passion for data science and using it for the…
Read more on Data Scientist – Data Analytics / Visualisation – Civil Service Jobs – GOV.UK
As a Data Scientist/Analyst at the Campus, you will have a passion for data science and using it for the public good. You will relish the challenge presented by delivering benefits from the broad span of Campus projects.
Read more on Data Scientist – Data Analytics / Visualisation Office for National Statistics
Please check out our webpage for updates on the up and coming seminar in our Data Science Economic Seminar Series.
Read more on Economic Data Science Seminar Series
The Data Masterclass helps senior leaders across UK government, the public sector and devolved administrations put data and evidence at the heart of their organisation.
Read more on Data Masterclass for Senior Leaders
In this report, we talk about our use of novel machine and deep learning techniques to explore changes in population behaviour and well-being during the coronavirus pandemic.
Read more on Using data science to explore changes in behaviour and well-being during the coronavirus (COVID-19) pandemic
We have been exploring if machine learning methods and publicly available spatial datasets can be used to map and understand HIV risk in Cote d’Ivoire, West Africa.
Read more on Mapping HIV risk in Côte d’Ivoire, West Africa
Applications are open for the 2021 Data Science Graduate Programme until 3 June 2021. This year’s programme has been expanded to offer places at several high-profile public-sector organisations.
Read more on Expanding the Data Science Graduate Programme
How the Data Science Campus and UNECE are continuing to lead international collaboration on Machine Learning for Official Statistics through the ML 2021 group.
Read more on Leading international collaboration in machine learning for official statistics
The Campus has exceeded a target to train 500 public sector analysts in data science by 2021. The target was originally set in 2018, and recently confirmed in the National Data Strategy.
Read more on 500 not out – building data science capacity for the future
We have been exploring Facebook data to understand changing patterns of mobility and the impact of lockdown restrictions.
Read more on Using Facebook data to understand changing mobility patterns
We will host Dr Özgür Şimşek from the University of Bath at the next session of the data science seminar series on Tuesday 20 April.
Read more on Data Science Campus Seminar Series
To celebrate National Apprenticeship Week 2021, we asked some of our degree data science apprentices why they chose the apprenticeship, and the impact it has had on their career journey so far.
Read more on National Apprenticeship Week 2021
The Campus is partnering with the United Nations Economic Commission for Europe (UNECE) to to develop research, build skills and share resources on Machine Learning developments and applications for official statistics across the global statistical community.
Read more on ONS-UNECE Machine Learning 2021 Group
This blog outlines some of the work the Campus has been doing, bringing our skills together with new data sources to help inform responses to the coronavirus (COVID-19) pandemic.
Read more on Understanding mobility during the COVID-19 pandemic
A report on the quality and methodology of data used to produce extent and change of surface water statistics for reporting on Sustainable Development Goals indicator 6.6.1 for the UK.
Read more on Quality and methodology: Extent and change of surface water statistics
In this blog, we describe how we have assessed the quality of the novel Global Surface Water Explorer (GSWE) dataset to better understand its value and fitness-for-purpose, producing data to report the UK’s position on indicator 6.6.1.
Read more on Using satellite imagery to report changes to water bodies for SDG 6.6.1This course is delivered through the Jupyter notebook application.
Read more on Intermediate Python Programming
We used text data from over 500,000 business websites to inform survey response-chasing efforts and gain insights into the impact of COVID-19.
Read more on Extracting text data from business website COVID-19 noticesItem Lead Discussion points 1 Introductions Tom Smith 1.1 Tom Smith welcomed Members to the sixth meeting of the…
Read more on Data Science Campus Advisory Board – 21 September 2020
On World Statistics Day 2020, our ONS FCDO Data Science Hub talk about exploring the use of satellite imagery to conduct a cattle census in South Sudan.
Read more on Counting cows in South SudanThis accessibility statement applies to the Data Science Campus website, which is run by the Office for National Statistics (ONS)….
Read more on Accessibility statement for the Data Science Campus website
This week is National Coding Week – an annual event that aims to inspire young people to code and build digital skills.
Read more on Getting the UK coding
We conducted a lessons learned exercise to help understand the challenges faced by our teams during the coronavirus (COVID-19) pandemic.
Read more on The hard reality of being a learning organisation
The latest update on our work with Barclays exploring if aggregated and anonymised card transactions data could provide significantly quicker, more granular insight into UK consumer spending.
Read more on Payments Data for Public Good
Our International programme leads and influences the role of data science, ensuring that it becomes an integral component of a Global Statistical System that works for all National Statistics Organisations (NSO).
Read more on International Programmes Team
The Campus will develop and deliver the 2021 programme in partnership with several Office for National Statistics (ONS) teams and other government departments.
Read more on 2021 Commonwealth Professional Fellowship programmeThis course introduces the basics of carrying out a statistical analysis in Python.
Read more on Statistics for Data ScienceThis course introduces students to the grammar of graphics and building a plot using ggplot2.
Read more on Data Visualisation in RThis course gives the essential knowledge to get started with a data science project in R using the Tidyverse package.
Read more on Data Science with R
Large volumes of unstructured, free-text data such as patent applications, contain potentially valuable information for policymakers. Here we describe the pipeline used to process such data sources.
Read more on pyGrams: An open source tool for discovering emerging terminology in large text datasets
In this report, we focus primarily on how the pyGrams tool can be used to analyse terms through time using the time stamps in document metadata.
Read more on Discovering emerging important terminology in large text datasets using pyGrams: a comparison between net growth and e-score methods We introduce pyGrams – a new Python tool for extracting, visualising and identifying emerging terms in large document collections, such as patents.
Read more on Extracting, visualising and identifying emerging important terminology from patent collections
The University of Glasgow will offer the MDataGov online in the 2020 to 2021 academic year and will also offer individual modules from the programme this summer.
Read more on Bringing MDataGov online with the University of Glasgow
The Degree Data Science Apprenticeship offers an opportunity to work at the heart of data science while studying for a BSc degree with a university in England and Wales.
Read more on Degree Data Science Apprenticeship
On International Day of Girls in ICT 2020, Harriet Sands talks about her journey into data science, what it’s like to work as a data scientist in government and how she would encourage a younger version of herself to get in to data science.
Read more on Inspiring the next generation of girls in data science
We are pleased to announce Cardiff University as the latest provider to join the MDataGov Framework from October 2020.
Read more on Cardiff University joins the MDataGov Framework
We are exploring new data sources such as Google’s Community Mobility Reports to strengthen the information that we have through surveys and other sources.
Read more on Supporting the response to coronavirus (COVID-19)
Registration is now open for the 2020 MDataGov Symposium! Former, current and prospective MDataGov students are invited to showcase data science research and projects conducted within government, and share experiences.
Read more on MDataGov Symposium 2020Item Lead Discussion points 1 Introductions Tom Smith, Frankie Kay 1.1 Tom Smith welcomed Members to the fifth meeting…
Read more on Data Science Campus Advisory Board – 7 November 2019
Our latest project investigates the use of machine learning techniques to predict missing energy performance scores. It also attempts to create a complete picture of the energy efficiency profile for domestic properties in Wales.
Read more on Can machine learning be used to predict energy performance scores?
To mark National Apprenticeship Week, our Data Science Degree apprentices share their progress and the difference they are making at the Data Science Campus.
Read more on Doing so much more than making tea!
Tuli Amutenya is a Graduate Data Scientist from the Namibia Statistics Agency who has spent the last 6 months at ONS. Here, Tuli shares her experiences and the learning she will be taking home.
Read more on Bridging data science and statistics for international development
This article summarises further development we have carried out to improve the timeliness and relevance of the shipping indicators, in response to feedback from our users.
Read more on Faster indicators of UK economic activity: more timely and relevant shipping indicators
How data science is helping to address the challenge of measuring the Sustainable Development goals in the UK.
Read more on Data science for sustainable development
In this guest blog, the Jean Golding Institute data challenge winners, explore if there’s an association between the Loneliness Index scores and movement for education.
Read more on Guest blog: Is loneliness associated with movement for education?
Today we published latest release of new, faster, indicators of economic activity constructed from novel data sources.
Read more on Faster indicators of UK economic activity
Can non-standard data sources help us understand the relationship between management practices and high growth?
Read more on Can non-standard data sources help us understand the relationship between management practices and high growth?
Extracting social-economic signals from internet traffic data.
Read more on What can internet use tell us about our society and the economy?
Our new Schools Engagement Strategy in partnership with Techniquest, aims to build science capital in primary aged children.
Read more on Science outreach in the community
Bringing data science to the heart of decision-making.
Read more on Automating consultation analysisItem Lead Discussion points 1 Introductions Tom Smith 1.1 Tom Smith welcomed Members to the fourth meeting of the…
Read more on Data Science Campus Advisory Board – 25 July 2019
Improving the current approach to identifying the proportion of vegetation for urban residential gardens in Great Britain.
Read more on Green spaces in residential gardens
Applications are now open for civil servants to study MDataGov modules at ONS in 2020.
Read more on Bringing university expertise to you
Data Science Accelerator mentee Ciaran Evans from the UK Hydrographic Office attempts to answer the question “What is the beach made of?”
Read more on Mapping beaches with the Data Science Accelerator Programme
The Data Science Campus launches its first Data Science Graduate Scheme.
Read more on The final piece of the jigsaw
Across the public sector, analysts can benefit from the Data Science Accelerator, which opened for a new cohort of applications this week.
Read more on Data Science Accelerator Programme
Every day our digital footprint is growing through simple activities like shopping, meaning nearly every industry is seeking data science skills.
Read more on Increased demand in the data science job market
The Campus is supporting colleagues in statistical organisations across the world to take advantage of new data and techniques in their work.
Read more on Data science capability for Africa
We are pleased to sponsor another cohort of Civil Servants to start the Masters in Data Analytics for Government in the 2019-2020 academic year.
Read more on Sponsorship for the 2019-2020 MDataGov programme
Last week I had the privilege of helping to organise the second annual MDataGov Symposium in Manchester and was so proud to see how incredibly fast the community is growing – Solange Correa-Onel
Read more on Highlights from the MDataGov Symposium 2019 in Manchester Education, learning and development are at the heart of The Campus’s aims. In 2018, 32 students registered on the Masters…
Read more on MDataGov Symposium 2019
Today marks two years since the opening of the Campus. We look back at the highlights and impact, and look forward to what’s next.
Read more on Our first two years
We’ve partnered with the Foreign, Commonwealth & Development Office to launch a new Hub at their offices in East Kilbride.
Read more on AI for International Development
We are currently using open data sets to develop a better understanding of loneliness in England. Are there places in England where people are more likely to be lonely and why?
Read more on Developing a Loneliness Prescription Index
The new Data Science Degree Apprenticeship is now live for delivery. Alison Adams shares her experience of leading the Trailblazer group to develop an innovative new learning pathway.
Read more on Trailblazing degree apprenticeships
Our current cohort of apprentices have just finished their training modules and are well on their way to completing their apprenticeships. Lucy and Joe tell us about their journey so far, as part of National Apprenticeship Week.
Read more on Our current apprentices – how are they getting on?
Many datasets contain variables that consist of short free-text descriptions of items or products. This technical report describes how we developed and implemented a natural language processing (NLP) pipeline that produces a well structured and hierarchical dataset.
Read more on Optimus – A natural language processing pipeline for turning free-text lists into hierarchical datasets
To mark the 12th annual National Apprenticeship Week, we caught up with some of our first data analytics apprentices now they have successfully completed their apprenticeship.
Read more on The first data analytics apprentices – where are they now?
Synthetic data mimics essential characteristics from the original dataset, creating new, substitute data that does not represent any real person, removing confidentiality requirements.
Read more on Synthetic data for public good and art