Data Analyst Level 4 Apprenticeship

Master Python, SQL and machine learning to uncover insights that drive business growth

Transform analytical skills and break out of spreadsheets. This apprenticeship teaches Python, SQL, introductory machine learning and advanced analytics – delivering £1.4m+ revenue insights and 90% faster project times through automation.

This apprenticeship develops data analysts who can collect, organise and study data to provide business insight. Learners master Python, SQL and introductory machine learning, working across variety of projects to provide technical data solutions to stakeholders and customers. Real-world applications deliver substantial business growth and efficiency.

For employers: Identify revenue opportunities through data-driven insights. Create efficiencies and cost savings through automation. Achieve 90% shorter project times. Build internal analytical capability that reduces reliance on external consultants while improving decision-making speed and quality.

For learners: Master Python for data processing and automation. Build SQL skills for database querying and analysis. Apply introductory machine learning techniques to identify trends. Understand data structures, visualisation and storytelling. Communicate insights clearly to technical and non-technical stakeholders.

Application → Training → Portfolio Building → EPA → Qualified Data Analyst

Course content

Programming Foundations

Python syntax and data structures
Data processing with pandas
Version control with Git
Software testing and quality assurance

Database Skills

SQL fundamentals and advanced queries
Database design and structures
Data extraction and transformation
Working with structured and unstructured data

Analysis & Statistics

Data mining and exploration techniques
Time series forecasting
Statistical methods and modelling
Introductory machine learning concepts

Visualisation & Communication

Data visualisation best practices
Dashboard creation and storytelling
Presenting insights to stakeholders
Technical documentation

Data Lifecycle & Governance

Data lifecycle management
Data quality frameworks and assessment
Security standards and GDPR compliance
Ethical data practices

Delivery

Online delivery with monthly group sessions, 1:1 coaching, and webinars. Practical, challenge-based learning using real business datasets and analytics projects. Learners build a portfolio throughout, with regular tripartite reviews tracking progress against the Level 4 standard.

Assessment

End-point assessment (EPA) including project with presentation and questioning, plus professional discussion. Apprentices build evidence throughout using real analytical projects – Python scripts, SQL queries, predictive models, dashboards, insight reports – demonstrating measurable business impact.

Want to Become an Apprentice?

Apply online through our simple formJoin our talent poolWe match you with real employersStart earning while you learn

I would definitely recommend an apprenticeship. The apprenticeship helps you gain both theoretical and practical knowledge.

Joanna Sipowicz

Test Analyst

The Coders Guild are adept at putting together course content that’s relevant to business in today’s market, with practical tools & skills that can be implemented from day one.

Liz Leith

Service Design & Delivery Manager

I’d like to say that my apprenticeship experience with The Coders Guild and Dedalus has been outstanding so far. The support, structured learning, and opportunities for growth have exceeded my expectations.

Anna Trubnikova

Software Developer Apprentice

FAQs for Employers

How does the funding work?

Our apprenticeships are funded via the government’s levy scheme. If you’re a levy-paying organisation, training comes from your levy pot. If you’re an SME, we can secure 95–100% funding through co-investment or levy transfers – we’ll guide you through it all.

Is the training aligned to our business needs?

Yes. Every apprenticeship is built around the apprentice’s real job. We collaborate with you to shape project work and tasks that directly support your team’s priorities, goals, and systems.

Do you teach specific tools or platforms?

We’re platform-agnostic and industry-led. We teach Python and SQL as core languages, but focus on principles that apply across tools and platforms. We adapt to your tech stack and data infrastructure.

What kind of support do we get?

From onboarding to endpoint assessment, you’ll have access to our support team, technical coaches, and account managers. We handle compliance and reporting, keep you in the loop on progress, and are always here if anything’s not working.

Can we enrol existing staff?

Definitely. Apprenticeships are ideal for upskilling or reskilling current employees. It’s a practical way to retain talent, deepen expertise, and build internal capability in a cost-effective way.

How will we know it's working?

You’ll see the impact in-role. Apprentices bring their learning straight into the day job. We also check in with managers, gather regular feedback, and provide reporting so you can see development over time.

Who is this apprenticeship suitable for in our team?

People moving from spreadsheets to programming, junior analysts wanting to level up, data technicians progressing to Level 4, or anyone with analytical thinking who needs Python and SQL skills.

What's the typical ROI?

Our apprentices have identified £1.4m revenue through insights, saved £120,000 through efficiencies, and achieved 90% shorter project times through automation. Impact typically shows within the first few months.

How technical do they need to be already?

They should be comfortable with data and logical thinking. Prior programming experience helps but isn’t essential – we build Python and SQL skills from solid foundations.

FAQs for Learners

Do I need to know Python or SQL already?

Not necessarily. We build these skills from foundations, but having some analytical or spreadsheet experience helps. If you’re curious about programming and comfortable with data, you’re ready to start.

Will I learn tools I actually use at work?

Yes. Our training adapts to your workplace. We focus on Python and SQL fundamentals that apply everywhere, and we’ll work with your employer to match your learning to their data infrastructure.

What's the time commitment?

You’ll spend 6 hours a week on off-the-job learning – things like workshops, mentoring, group projects, and self-study. It all fits around your work schedule, and we help you manage it in a sustainable way.

What support will I get?

You’ll have access to tutors, technical coaches, and peer groups throughout the apprenticeship. We’re here to answer questions, troubleshoot challenges, and celebrate your wins. Plus, you’ll check in regularly with your line manager.

Is this like school or university?

Nope. This is workplace-first, challenge-based learning. You won’t be stuck in lectures. You’ll learn by doing, solving real problems, working with peers, and applying everything in context.

What happens at the end?

You’ll complete an end-point assessment and, if you pass, gain a nationally recognised qualification. Most apprentices continue in their role, take on more responsibility, or move up into a more advanced position.

Will I get paid?

Yes. This is a full-time employed role with a salary. You earn while you learn and work on real analytical projects from day one.

How long does the apprenticeship take?

8-18 months typically, depending on your starting point and experience. Those with some analytical background may complete faster.

What could I progress to after this?

Many data analysts progress to Level 5 Data Engineer, or specialise in areas like data science, business intelligence, or machine learning depending on their interests and career goals.