Build Data Literacy across your organisation
Build Python and Data Analytics capability at scale
Develop your data science and AI capability
Enable data and AI across your organisation
Build your organisation’s data literacy at scale
Cambridge Spark’s Data Citizen Apprenticeship teaches your workforce the core concepts, skills and tools all professionals need to be data-driven and independent in their work.
Who it is for:
- Teams working with spreadsheets who want to create more value from data and improve productivity
- Employees looking to build confidence and technical skills to work with data effectively
- Employees that want to progress into more technical, data-driven roles
The Cambridge Spark curriculum offered the opportunity for GSK staff to develop skills in Python, visualisation, and big data to support them in the use and development of data as a tool for the business.
Tim Buchanan, Apprenticeship Vendor Manager 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 deliver support our learners through workshops and 1:1 support 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 benefit from a peer network that provides support and technical help. Learners also benefit from our network of experts, with monthly guest lectures 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, made up 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 most cutting-edge skills.
We take a modular approach to how we offer our curriculum. The full Data Essentials Academy learning pathway 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.
- The Value of Data
Understand the value of data and the way digital technologies are fundamentally changing the global economy, market structures and creating new opportunities.
- Future of Learning and Careers in Data
Join, manipulate and summarise datasets using the Pandas library.
- Data Concepts
Get acquainted with essential data concepts, tools, processes and vocabulary.
- Basic Numbers for Data Analysis
Develop intuition for underlying statistical concepts & what the numbers mean in practice.
- Data Sourcing & Integration
Learn how to blend, manipulate and link data sets from multiple sources in a range of formats appropriate to the task at hand.
- Data Preparation, Quality & Validation
Validate data to ensure consistency and quality compliantly and develop techniques to check for errors & help ensure the highest levels of data quality.
- Excel for Data Analysis
Use Excel to prepare, format and integrate different types of data accurately and consistently following industry best practice.
- Charts & Visualisation in Excel
Create insightful, action-inducing, data-driven graphs and charts in Excel.
- Dashboarding Tools
Build on previous learning and increase skills in time series analysis and clustering of data.
- Storytelling & Presenting with Data
Build narrative around data to hone in on and share key insights, create impactful visualisations.
- Reporting & Actioning Insights
Prepare reports to help action data-driven insights and use interpretation and judgement to solve problems by working collaboratively, thinking critically & reasoning analytically.
- Data Storage, Compliance & Security
Collect data securely using Excel from trusted sources ensuring compliance with relevant regulatory and legal standards and industry and organisational best practice.
- Introduction to Coding with Python
Get familiar with key coding concepts as well as fundamental foundations to help decide if Python is something to explore further.
Being part of the Cambridge Spark network has connected me with many high-calibre data scientists and data leaders who we still keep in touch with and occasionally enjoy formal dinners in Cambridge.
Julia Massabuaum, Head of Data Science at Unipart
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 3 Data Technician Apprenticeship is available to fund the Academy for 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, retail 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 Essentials Apprenticeship runs for 13 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 3 Data Essentials Apprenticeship that we offer).
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.
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.
Who's benefitted from our academies
Read case studies on the impact we have made for our clients.