Data Fellowship
With ever more data at their fingertips, organisations need people who can tell the stories it holds. On our Level 4 Fellowship, apprentices become confident analysts, able to turn raw data into meaningful insights organisations can act on.
Overview
The skills to clean, analyse and model data. The ability to visualise and tell data stories to non-specialists. The confidence to lead conversations around machine learning.
This programme lays the foundation for apprentices to become high-performing analysts and data science professionals. With content designed by Multiverse data experts, it draws on social and applied learning, plus the close support of experienced coaches committed to helping others succeed.
Along the way, apprentices will build up a personal portfolio and dive into two hackathons, before bringing everything together during an eight-week, real-world project.
Duration
13-14 months
Price
£15,000 - eligible for funding by UK Apprenticeship Levy
Level
4
Most qualifications have a difficulty level. There are 9 qualification levels. The higher the level, the more difficult the qualification is.
Qualification
Apprenticeship
Who it's for
Aspiring and junior data analysts.
To apply you'll need
- To have the right to work in the UK
- To have lived in the UK or EEA continuously for the past 3 years
- At least a grade of 4/C GCSE (or equivalent) in Maths and English
- To have not previously studied the course content
- To not undertake any other qualification during the apprenticeship
- To be able to apply your learning to your role
Qualifications Received
- Level 4 apprenticeship standard in Data Analytics
If you're already hired and looking to upskill at your work place, get in touch with your employer about next steps.
The modules
Month 1
Foundations of a Data Analyst
- Learn the basics of data analysis and key statistical concepts, and gain familiarity with various data types and structures.
- Develop your understanding and skills in exploratory data analysis to filter, sort and calculate descriptive statistics.
Month 2
Foundations of data management
- Understand principles of data management and governance, developing skills in ensuring data accuracy and quality.
- Maintain data integrity and compliance with regulations by developing and applying robust data governance frameworks.
Month 3
Visualising your data for stakeholders
- Design impactful data visualizations and present insights effectively. Tailor data stories to different audiences and improve the clarity of data for informed decision-making.
- Develop your communication skills and enhance your collaboration with stakeholders.
Month 4
Integrating your data for business impact
- Understand database design principles and data modeling.
- Learn techniques for expanding and integrating datasets, building efficient and scalable database systems with data accessibility and usability at its core.
Month 5
Data analysis hackathon & EPA prep session
- Working together on a challenge that allows apprentices to use the skills they’ve learned so far.
- Working session to learn more about the EPA, practice for your interview, and work on your evidence.
What makes it special?
- Market-leading curriculum content developed by a Multiverse team of learning design and data experts
- Covers the most relevant skills for the data roles of the future
- A diverse pool of apprentices, with a real range of ages and roles
- Coaches combine technical and interpersonal skills
- Experience tailored to role, with apprentices solving real business challenges
- Social learning through hackathons and bootcamps, plus community groups and events
Opportunities for a lifetime
We place you with a top employer – a company where you can learn a ton while making your mark.
Nicole
Digital Marketing Apprentice
Devashish
Software Engineering Apprentice
Denise
Software Engineering Apprentice
Cartomu
Data Fellowship Apprentice
About Multiverse
Why Multiverse?
- World class content
- An unbeatable track record
- Outstanding client support
- Active, inspiring community
- Excellent learning experience
