L3 Data Citizen Apprenticeship

One data apprentice can create a real business impact

98% reduction in report production time

77% increase on KPI through access to real-time reporting

£39,000 annually saved on reporting costs

416 hours of FTE time saved by automating reporting

A Programme Built for Business Impact

The Data Citizen Apprenticeship is a Levy-funded programme designed to equip every employee with the mindset and core skills to work effectively with data every day, helping your business become truly data-driven.

Duration: 13 months

Price: Fully funded by the Apprenticeship Levy

Boost Productivity & Efficiency

Eliminates manual data and reporting tasks, significantly boosting productivity.

Drive Data-Led Decisions

Equip your staff to analyse data independently, eliminating bottlenecks and enabling faster, smarter decisions across your business.

Nurture In-House Talent

Build a sustainable pipeline of talent by providing a structured pathway for employees to gain valuable data skills.

Unlock Organisational Value

See your team deliver direct savings and tangible contributions to your company's bottom line.

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Transforming Sustainability Data Reporting at GSK

The Level 3 Data Citizen apprenticeship is a vital tool for organisations like GSK, as it rapidly builds foundational data literacy across non-technical staff. This upskilling enables employees to simplify and automate routine data tasks, significantly improve data quality and validation for critical metrics (like sustainability reporting), and directly contribute to achieving high-level strategic goals.

Read the case study

Suitable Roles & Strategic Capability

The Level 3 Data Citizen is your foundation for widespread data literacy and improved operational efficiency.

Business & Corporate Functions

Professionals leveraging data for campaign tracking, resource allocation, customer insight, and routine reporting needs.

Operational & Support Roles

Administrators / Office Managers, gaining skills in data manipulation, preparation, validation, and using data to monitor productivity and support project decisions.

Early Career & Reporting

Staff who need a strong, accredited foundation in data basics, visualisation, and communicating reliable insights.

What Makes Our Programme Special

We deliver our programmes online to provide maximum flexibility and inclusivity, ensuring all your employees can participate regardless of location. Our approach combines experiential learning, expert coaching, and technical mentorship to deliver tangible business results.

Real-World Practice for Accelerated Impact

Our online learning platform, EDUKATE.AI, provides a secure, in-browser sandbox environment. This allows learners to practise new skills on real-world, industry-simulated assignments, accelerating their ability to apply new knowledge and drive immediate impact within your organisation.

Unique contextualisation

We collaborate with industry-leading partners to offer contextualised programme options tailored to specific sectors, such as journalism, the NHS, and HR. This ensures the skills your employees develop are directly relevant to their roles and your business needs.

Personalised Learner Support

Each learner gets a dedicated Data Mentor and Learner Success Coach. This personalised support structure addresses both technical and professional development, helping your team overcome obstacles and excel throughout the programme.

Flexible Fully Online Learning

Our programme is fully online, providing maximum flexibility for your employees. They can access content from anywhere, with no setup or installation of EDUKATE.AI required, ensuring a seamless learning experience.

Expert Curriculum

Our comprehensive curriculum is designed to build the skills your workforce needs to succeed in a data-driven environment. Learners will master essential concepts like data storytelling and gain proficiency with tools such as Power BI or Data Studio.

Community

Participants gain access to a network of thousands of data professionals. This community provides a valuable resource for peer support and knowledge sharing, allowing your employees to learn from the expertise and experience of others in the field.

Eligibility, Funding & Commitment

This programme is designed for a diverse range of employees, including those in non-technical roles, to build essential data literacy and apply data-driven insights in their work.

Details for Employers

Price / Funding Band - Fully funded by the Apprenticeship Levy, up to the maximum funding band of £13,000
Non-Levy Cost - If you are a non-Levy payer (SME), the government funds 95% of the training cost. Your co-investment is only 5%.
Apprentice Eligibility - Employed in England and resident in the UK or EEA for the last 3 years. No prior data training or related experience is required.

Details for Managers

Apprentice Time - Can commit to the minimum planned weekly hours off the job learning - required for the duration of the programme.
Manager Time - 30-minute progress review meeting with the apprentice and their dedicated coach every 3-4 months.
Compliance Support - We handle the administration. Our team manages compliance, funding applications, and Digital Apprenticeship Service (DAS) account administration.

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Delivering Value from Day One

The curriculum ensures your employees become confident in data preparation, analysis basics, and visual storytelling using standard business tools such as Excel or Sheets. Graduates understand data validation, reporting, and compliance basics, creating a unified, data-driven culture that enables better daily decision-making across the entire organisation.

Core Modules

The Value of Data

The value of data to organisations
Data types and storage formats
The data lifecycle
The importance of social inclusion in data
AI fundamentals and the role of data in AI

Introduction to Data Manipulation

Common sources of data, including internal systems, external providers, public datasets and open data
Accessing and extracting data from identified sources
Integers, floating-point numbers, scientific notation, date strings
Data precision, analysis, and communication

Numbers in Excel/Sheets

Calculating averages, standard deviations, word counts, common values, and percentage differences.
Identifying trends, patterns, and key insights within a dataset
Summarising, analysing, and explaining data findings to support decision-making

Data Preparation, Quality, and Validation

Identifying data faults including spotting duplicates, misclassifications, spelling errors, gaps, and obsolete data
Validating data and verifying information sources
Auditing combined datasets to ensure accuracy
Parsing data into standard formats

Data Analysis

Row counts, averages, standard deviations, word counts, common values and percentage differences
Extracting meaningful insights from structured and unstructured data
Capabilities of analysis, visualisation, and querying tools
Tools to manage, present and visualise data

Advanced Excel/Sheets

Utilising query and transformation tools to clean, manipulate, and reformat datasets
Pivot tables and pivot charts
Using Power Query (Microsoft) or Connected Sheets/BigQuery (Google) to connect and combine data sources and automate tasks

Charts and Data Visualisation

Managing, presenting, and visualising data
Communication tools and technologies for collaborative working
Spreadsheets, charts, dashboards, and bespoke visualisations
How storage types and data element formats impact analysis

Dashboarding Tools - Power BI/Data Studio

Format charts & dashboards to effectively communicate data analysis
Incorporating interactivity to improve communication and aid audience understanding
Structuring visual dashboards for shared review, enabling teams to analyse data collaboratively

Storytelling, Reporting, and Actioning Insights

Utilising written, verbal, non-verbal, and narrative methods to convey data findings effectively
Adapting communication styles, formats, and levels of detail for technical vs. non-technical audiences, managers, and peers
The importance of cultural awareness, diversity, and accessibility standards when presenting data

Data Storage, Compliance, and Security

Storing, managing, and distributing data in compliance with organisational, national, and sector-specific standards
GDPR, the Data Protection Act, intellectual property rights, EU AI Act
Ethical considerations around data use, including in AI and automated systems

Introduction to Coding

Understanding what Python is, its core capabilities, and its primary applications in data analysis
Identifying specific use cases for coding and automation within your team and business function
Fundamental coding concepts and running basic Python scripts

FAQs

What delivery options do you offer?

We tailor our delivery to your workforce needs. This ranges from independent, immersive e-learning supported by EDUKATE.AI through to tailored bootcamps, to our structured apprenticeship programmes.

Are you able to tailor the programme to the organisation and sector?

Yes. We work with our clients to contextualise our programmes to their organisation and sectors they operate in. We do this through bespoke assignments and guest lectures from industry experts. We also work with a range of partners to create bespoke programmes for sectors, such as health and journalism.

What is the Apprenticeship Levy?

The UK government introduced the Apprenticeship Levy scheme in April 2017 as a way to drive investment in strengthening the country’s skills base.

All organisations with annual staff costs of over £3m have to pay 0.5% of their salary bill into a ring-fenced apprenticeship levy pot. The money is collected monthly via PAYE and can only be used for training on approved apprenticeship schemes (such as the Level 3 Data Citizen Apprenticeship that we offer). Organisations must forfeit any levy funding left unspent for 12 months or more.

For Individuals

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For Organisations

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Revolutionise Data & AI Upskilling with EDUKATE.AI

Resources

The Data & AI Mastery Podcast

Level 3 Data Citizen Apprenticeship