Capability

Identifying different roles in the social care sector using online job advertisements 

In this guest blog, data science apprentice Evie Brown from the Social Care Analysis team at the Office for National Statistics (ONS) presents work on grouping online job adverts by social care role. This project was a significant part of the final year of the Level Six Data Science Apprenticeship. 

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Paving the way for accessible data science training in the public sector 

A large-scale accessibility audit of many courses and presentation templates on the Learning Hub and the ONS website in 2021 revealed many accessibility issues that would impact users of screen reader technology.
In this blog post Jake Marshall talks about the process I developed and why this project is important not only to the Campus, but to him personally. 

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Mentoring without borders – growing data science skills internationally

The International Data Science Accelerator Programme opened for its’ first applicants on 31 January. We spoke to Fatima Al Taharhwa (Department of Statistics, Jordan) and her mentor Hatem El Sherif (Federal Competitiveness and Statistics Centre, United Arab Emirates), who took part in the pilot programme.

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The back of 2 people sat at screens with code on.

How effective mentoring relationships are growing data science skills and capacity

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.

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Graduate Induction Week

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.

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