Data Analyst Apprenticeship (L4)

Upskill new and existing talent with our accelerated 14-month government-funded apprenticeship


14 months


Dell EMC Data Science and BCS

Entry requirements

  • Full-time employment in a relevant role
  • A-level Maths or equivalent (exceptions may apply)
  • No prior Data or Computer Science degree or related experience (exceptions may apply)

Typical job roles upon completing the programme

Data Analyst, Data Scientist, Data Engineer, Data Manager, Data Modeller



Upskill your employees using the Apprenticeship Levy

Our Apprenticeship Levy-funded Data Analyst Apprenticeship (L4) equips learners with an advanced skill set to empower them to extract, manipulate and visualise data, enabling organisations to answer complex questions and drive strategic value.

Across 14 months, learners will undertake ten expert-designed modules remotely, whilst receiving coaching, attending check-ins and submitting assignments to K.A.T.E.® – before preparing for and undertaking their end point assessment and certification exams.

Apprentices will learn how to

  • Programme in Python
  • Use advanced data analysis tools such as Pandas and Numpy
  • Work with different data formats, types and databases such as SQL
  • Process Big Data
  • Build and implement Machine Learning models

What is an Apprenticeship?

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

They typically run over 14-24 months and include 20% off-the-job training, enabling a blended approach between theory and practical-learning to be achieved by learners. 

The Apprenticeship Levy

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

All organisations with 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, but can be clawed back within 24 months and used for training on approved apprenticeship schemes (such as the Data Analyst Apprenticeship (L4)).


Introduction to Python & Pandas

Understand and become familiar with Python syntax, structure and programming concepts as well as using Pandas

Data Processing & Visualisation

Join, manipulate and summarise datasets using Pandas then select and use the best methods for visualising the data

Time Series & Visualisation

Work with Time Series data structures and techniques in Python and use Pandas for advanced analysis and complex data processing

Programming Tools & SQL

Use programming best practices to create production-quality Python scripts based on data from multiple SQL databases

Web Scraping, JSON & APIs

Read and write JSON data with Python, scrape and use data from websites and work with different document formats or data types


Reinforce and develop the technical knowledge, practical skills and data analyst behaviours

Data Exploration, Supervised Learning and Feature Engineering

Learn more advanced data analysis techniques including exploratory Data Analysis with Pandas, data processing and linear regression

Classification, Model Selection, and Regularisation

Understand and use advanced analysis and programming techniques including logistic regression, model selection and evaluation and using discriminative classifiers

Time Series and Unsupervised Learning

Build on previous learning and increase skills in time series analysis, unsupervised learning and more variable outputs

Big Data

Learn how to work with “big data” and use Hadoop for processing large volumes of data


End Point Assessment


Request more information to learn more about apprenticeships and our apprenticeships offering with our free eBook 

Why learn with us?


Real-world simulated projects with K.A.T.E.®

Instant feedback 24/7, flexible-learning, applied practical experience within a work-simulated environment, guaranteed ROI


Accelerated programme & flexible learning

14 months, blended and flexible learning – enabling learners to embed new skills and knowledge at a faster rate, when and where it suits them


Expert designed curriculum delivering the right skills

Designed by Data Scientists and Data Analysts working in industry, for industry


Teach & coaching from professional Data Scientists

All of our teachers and coaches work as Data Scientists or Data Analysts

Digital Learning & K.A.T.E.®


Modules will be delivered via our learning management system, and  K.A.T.E.® (Knowledge Assessment Teaching Engine), Cambridge Spark’s AI-powered learning and development platform.

KATE provides instant feedback on code quality within an industry-simulated environment so students can effectively benchmark their code. It also provides personalised recommendations to enable learners to truly own their development and achieve a steeper rate of learning – guaranteeing ROI to business and L&D leaders.

The platform also provides Human Resource and management with a dashboard to monitor the progress of learners and track the progress of learners.

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Assessment and Certification


Towards the end of their learning journey, we’ll prepare the apprentices to undertake their certification exams and interview to achieve the following certificates:

  • Dell EMC Data Science Certification
  • BCS Data Analyst (level 4) Apprenticeship Certificate
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Interested in learning more?

If you’re interested in what the Data Analyst Apprenticeship (L4) could do for your team or department, please complete the form to the right of this text and we’ll get back to you within two working days with more information.

Get in touch now

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