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
Data analysis in industry
- Describe the data analytics lifecycle and set out details, activities and roles at each stage in a real-world example
- Design effective project briefs which communicate expectations to stakeholders
- Identify business specific rules related to data sets and data characteristics that will influence project design and analysis
Month 2
Levelling up with Excel
- Introduction to aggregating and joining data with Excel
- Pivot tables, visualisations and data cleaning with Excel
- EPA prep (introduction to portfolio project write ups and acceptable evidence)
Month 3
Database Fundamentals
- Understand normalised relational databases and how and why the principles are applied
- Identify starting points for overcoming project and technical problems
- Implement Quality Control measures and know how to assure the quality of data uploads and query output
Month 4
Data Tools: SQL & Data Visualisation
- Introduction to databases & querying with SQL
- Aggregating, cleansing and segmenting with SQL
- Joins, views and functions in SQL
- Fundamental of Business Intelligence
Month 5
Advanced BI & Project Presentation
- Visualisations & dashboarding in a BI tool
- Advanced calculations and statistics in a BI tool
- Conduct a BI project to be included as part of the portfolio
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
