One data analyst learner can create real business impact:

£1.4m revenue

identified through data-driven insights

£120,000 saved

by creating efficiencies

1000+ hours

of team time saved through automations

92 hours

of individual time saved through automations


Build your organisation’s data analytics capabilities at scale

Cambridge Spark's Level 4 Data Analyst Apprenticeship will equip learners with the technical skillset to empower them to extract, manipulate and visualise data, enabling organisations to answer complex questions and drive strategic value.

Our apprentices learn Python from day one - Python is the most popular programming language for data analytics and is key to future-proofing skillsets.

Who is this data analytics apprenticeship for?

  • Data-driven departments and teams looking to add more strategic value, e.g. business intelligence, finance, marketing, sales or supply chain
  • Employees looking to automate the manual collation and processing of data
  • Employees wanting to future-proof their skill set by learning in-demand, industry-relevant skills

Learner Outcomes:

  • Use Python programming and data analysis tools such as Pandas and Numpy to create insights that can drive commercial decision-making
  • Work with different data formats, types and databases, such as SQL
  • Use data visualisation to summarise, present and make recommendations from the results of data analysis
  • Test and prototype code in a production environment, follow industry best practices and use collaborative workflows

Organisation Outcomes:

  • Make commercial decisions informed by impactful data analysis
  • Reduce costs through automation of manual processes and increased staff productivity

Task automation has been the biggest benefit. It’s taking away the manual intervention part as it’s all happening by itself now, producing up-to-date insights at any given moment.”

Saad Abdullah, Data Analyst Apprentice at GSK

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Experts in online delivery

We deliver all of our programmes online, helping our clients offer flexible and inclusive programmes open to all of their staff. We believe that the gold standard for online delivery is to offer a mix of experiential learning, coaching, technical mentorship and peer support.

24/7 immediate feedback

EDUKATE.AI is our learning platform designed for data science education which gives learners immediate and personalised feedback on their code.

Fast skills deployment

Learners apply their skills to real datasets from their first day of learning, with assignments on EDUKATE.AI simulating a working industry environment.

Tailored expert curriculum

A modular curriculum developed with leading experts from academia and industry to meet all skills needs in an organisation.

Peer support

Engagement and support from peers through Knowledge Base, our Q&A feature built into EDUKATE.AI.

Easy set up

Our cloud-based platform requires no installation or set-up for our learners, with their content available whenever they need it.


Real time analysis of learner progress and completion at an individual and cohort level allowing us to target support and celebrate success.

The Curriculum

Our curriculum is developed by our leading faculty, composed of data scientists in leading industry positions and academics from some of the top universities in the world. Our curriculum is continuously updated and reiterated to incorporate the latest skills.

We take a modular approach to how we offer our curriculum. The full Level 4 Data Analyst Apprenticeship includes all of the below modules. We also offer curated shorter tracks and can offer a fully tailored pathway based on a skills gap analysis.

Core Modules

Introduction to Python

Understand and become familiar with Python syntax, structure and programming concepts.

Data Processing with Pandas

Join, manipulate and summarise datasets using the Pandas library.

Data Visualisation

Learn how to construct compelling charts and visualisations to communicate data-driven insights to technical and non-technical audiences, using libraries such as Seaborn and Bokeh.

Power BI and Tableau

Gain familiarity with industry-standard tools for creating interactive visualisations and business intelligence capabilities.

Data Science for Business

Learn to identify practical applications and use cases for data science and artificial intelligence that deliver and create business value.

Databases and SQL

Learn how to use SQL languages to store, query and retrieve structured and unstructured data and interact with databases.

Text Mining, JSON and APIs

Read and write JSON data with Python and learn automated methods for retrieving structured and unstructured data from a range of web-based sources.


Reinforce and develop the technical knowledge, practical skills and data analyst behaviours with a halfway hackathon.

Maths for Data Science

Learn the essential mathematical concepts that underpin much of the AI and data science domain, including probabilities, statistical significance and linear algebra.

Introduction to Machine Learning

Build familiarity with a wide range of essential concepts and tools required to unlock the use of different types of machine learning models and techniques.

Time Series Analysis

Learn to analyse and model series data with Python, Pandas and Numpy.

Big Data Systems

Learn to identify big data-related opportunities within an organisation and to leverage the power of distributed computing to extract value and insight at scale.

Data Privacy, Ethics and Regulations

Learn about key ethical, legal and regulatory issues relating to the use of data.

Hear from Didier Vila, Chief Data and AI Officer at Utility Warehouse



What delivery options do you offer?

We tailor our delivery to your workforce needs. This ranges from from independent, immersive elearning supported by EDUKATE.AI through to tailored bootcamps, to our structured apprenticeship programmes. The Level 4 Data Analyst Apprenticeship is available to learners based in England.

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 tailored hackathons, bespoke assignments and guest lectures from industry experts. We also work with a range of partners to create bespoke programmes for sector, such as health and journalism.

What is an apprenticeship?

Apprenticeships are a long-term training commitment which seek to support people entering the workforce and upskill existing UK-based employees within an organisation, enabling employers to foster a workforce consisting of highly-skilled and highly-engaged talent.

The Cambridge Spark Data Analyst Apprenticeship runs 14 months plus a 3-month end-point assessment and includes a minimum of 6 hours per week off-the-job training, enabling a blended approach between theory and practical-learning.

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 4 Data Analyst Apprenticeship that we offer). Organisations must forfeit any levy funding left unspent for 24 months or more

If your organisation does not meet the requirements for levy funding, we also offer an employer-funded alternative to this apprenticeship, the Data Analysis Foundations Certificate.

What if my organisation doesn't pay into the UK Apprenticeship Levy?

An organisation that doesn't pay into the levy can still qualify for government-funded apprenticeships for their staff. In fact, the UK government will sponsor 95% of the apprenticeship programme, leaving the organisation to invest the remaining 5%, provided that learners meet other eligibility criteria.

What does "off-the-job training" mean?

Off-the-job training is defined as learning undertaken outside of the day-to-day work duties and during the apprentice’s normal working hours.

Our off-the-job training is delivered on a flexible basis and can be carried out at the apprentice’s place of work or home.

The 6 hours per week, minimum, off-the-job training provides learners with the time to focus and develop the required skills, knowledge and behaviours to complete the programme.

If you cannot commit to the off-the-job training requirement be sure to check out our condensed 10-week Data Analysis Foundations Certificate course as an alternative.

How much do managers need to be involved?

Managers will need to ensure apprentices achieve their planned off-the-job training hours and work on their project portfolio.

We also encourage managers to have regular one-to-one meetings with apprentices to catch up on how they are progressing and to join the apprentice and their coach for 30 minutes every 3-4 months for a general catch up about the programme.

Enquire now

Fill out the following form and we’ll contact you within one business day to discuss and answer any questions you have about the programme.

We look forward to speaking with you.

Who's benefitted from our data apprenticeships

Read case studies on the impact we have made for our clients.

Delivering data-driven customer solutions at Royal Mail with apprenticeships

Data Analyst Apprentice identifies £30k of savings for GSK

Building AI capability in media and broadcasting with AI apprenticeships

Read more case studies