Data Skills Credits – for providers
Funding for training and education providers. Get up to £10,000 for the delivery of digital and data upskilling courses to support learners in our target groups.
Background
Since launching our Data Skills Credits small grants scheme in 2020, Data Skills for Work at The Data Lab has supported over 900 learners to access digital and data short courses, delivered by our trusted network of training and education partners.
1000
Learners benefited
68%
Identify as women
24%
Ethnic minority
What we want to achieve
Our core objective is to benefit working adults who want to upskill themselves in data to address the demands of the changing world of work. We want to ensure the region has the workforce skills to underpin a strong digital economy, drive improved economic performance and inclusion across the region and to influence the acceleration to Net Zero through digital skills to help with carbon management.
We want to partner with training and education providers who can offer data upskilling short courses to learners who belong to learner in our target groups, which includes: women, people with a disability, people from ethnic minority backgrounds, and neurodivergent individuals.
Data Skills Framework
Data Skills Credits are designed to help learners to develop data citizen, data worker and data professional skills. Through our work and research with employers in the city region, we have created a Data Skills Framework, which identifies the following data skills gaps:
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Learning at Data Citizen level should introduce individuals to the fundamentals of data science, its key concepts and equip them with an ability to carry out basic tasks. For example, effective Data Management, Data Ethics, Data Protection.
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At Data Worker level, learners should be able to apply statistics, programming and analysis skills to datasets from their organisation to answer questions. There is potential for training contextualised with in specific sectors, looking at data analytics and management/governance in the context of, for instance, retail, marketing, tourism, financial services, or the third sector.
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At Data Professional level, employers have identified a need for communication skills for technical roles, as well as AI & Machine Learning and Data Engineering skills.