Build your organisation’s data analytics capabilities at scale
Cambridge Spark's Level 4 Data Analyst Apprenticeship will equip learners with the technical skill set to empower them to extract, manipulate and visualise data, enabling organisations to answer complex questions and drive strategic value.
Who It Is For:
- Data-driven departments and teams looking to add more strategic value, for example 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
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
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.
EDUKATE.AI is our learning platform designed for data science education. EDUKATE.AI provides real-world simulated assignments and gives learners immediate and personalised feedback on their code.
An experienced data mentor helps learners scope and deliver work-based projects, helping bridge the gap between learning and application to generate a return on investment.
A coach supports the career and personal development of our learners through 1:1 coaching sessions, as well as quarterly tripartite reviews with line managers.
Our world-class faculty of experienced data professionals and academics from leading universities support our learners through workshops and 1:1 tutoring on queries.
Live expert-led lectures
Our learners join online workshops delivered by our expert faculty with the support of a tutor for 1:1 questions in real-time. Learners can access recordings through EDUKATE.AI.
Peer and expert community
Learners have access to a peer network that provides support and technical help. Learners also benefit from our network of experts with monthly guest lectures with speakers from different industries.
The EDUKATE.AI platform forms part of our learning solution for a Data Science upskilling program we run called Data Science Academy. To make these technology solutions most effective, the key consideration for us is the balance between learner experience and scale/automation which the EDUKATE.AI platform delivers on."
Derek Joyce, MD at J.P. Morgan
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.
- Introduction to PythonUnderstand and become familiar with Python syntax, structure and programming concepts.
- Data Processing with PandasJoin, manipulate and summarise datasets using the Pandas library.
- Data VisualisationLearn 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 TableauGain familiarity with industry-standard tools for creating interactive visualisations and business intelligence capabilities.
- Data Science for BusinessLearn to identify practical applications and use cases for data science and artificial intelligence that deliver and create business value.
- Databases and SQLLearn how to use SQL languages to store, query and retrieve structured and unstructured data and interact with databases.
- Text-mining, JSON and APIsRead and write JSON data with Python and learn automated methods for retrieving structured and unstructured data from a range of web-based sources.
- HackathonReinforce and develop the technical knowledge, practical skills and data analyst behaviours with a halfway hackathon.
- Maths for Data ScienceLearn the essential mathematical concepts that underpin much of the AI and data science domain, including probabilities, statistical significance and linear algebra.
- Introduction to Machine LearningBuild 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 AnalysisLearn to analyse and model series data with Python, Pandas and Numpy.
- Big Data SystemsLearn 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 RegulationsLearn about key ethical, legal and regulatory issues relating to the use of data.
The skills being taught by this programme allows us to use Python as a tool which means that as a business we can now develop and use the data to form trend analysis to determine if there are issues and problems in our pipeline and where to focus improvement activities"
Angus Taylor, Commercial Reporting Manager at Royal Mail
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 Fellowship and 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 sectors including health and journalism.
What is an apprenticeship?
Apprenticeships are a long-term training commitment which seek to support people into 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 3 months End Point Assessment and includes a minimum of 20% off-the-job training, enabling a blended approach between theory and practical-learning.
What is 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 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 must be spent within 24 months and used for training on approved apprenticeship schemes (such as the Level 4 Data Analyst Apprenticeship that we offer).
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 does 20% off-the-job training mean?
Off-the-job training is defined as learning which is undertaken outside of the day-to-day work duties and it must take place within 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 from home.
The 20% off-the-job training provides learners with the time to focus and develop the required skills, knowledge and behaviours to achieve the apprenticeship.
If you cannot commit to the 20% 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 the 20% 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 thirty minutes every 3-4 months for a general catch up about the programme.
Register your interest
Fill out the following form and we’ll email you within the next two business days to arrange a quick call to help with any questions about the programme.
We look forward to speaking with you.
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