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
15-18 months
Price
Free tuition
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
Employer?
Enquire nowStarting your career?
Get started(opens new window)If you're already hired and looking to upskill at your work place, get in touch with your employer about next steps.
The modules
Data Fundamentals (Months 1-2)
Understand the fundamentals of being a data analyst and begin using exploratory analysis.
- Data analytics lifecycle
- Data foundations
- Data analysis fundamentals
- Spreadsheet foundations.
Get confident with data management focusing on data governance and validation.
- Data Legislation + GDPR
- Privacy by Design
- Data Architecture
- Principles of Data Quality
Business Intelligence (Months 3-5)
Learn a BI tool and create reports, visualisations, and dashboards.
- Stakeholder + project management
- Defining customer requirements
- Dashboards
- Principles of UX
Learn the principles of data integration in your BI Tool or SQL.
- Database Designs
- Relational Database
- Normalisation
- Data integration
- ETL
Business Intelligence Hackathon & EPA Prep
Phase 3
Analysis with Python (Months 6-8)
Getting started with programming, specifically in Python.
- Why Python
- Variables in Python
- Loops and conditionals
- Python functions
- Intro to Pandas
Learning how to analyse and present data in Python.
- Useful statistics
- Sampling
- Standard Deviation + Standardising
- Probability
- Hypothesis testing
Python Hackathon & EPA Prep
Phase 4
Predictive Analytics (Months 9-11)
Predictive analytics in Python, including training and testing models.
- Supervised vs. unsupervised
- Linear regression
- Logistic regression
- Train, test, split
- Performance metrics
Extending predictive analytics to time series forecasting.
- Resampling
- Rolling statistics
- Decompose
- Autocorrelation + Stationarity
- Building a forecast model
- Deploying
Machine Learning Hackathon & EPA Prep
Phase 5
End Point Assessment Preparation (Month 12)
Prepare for the portfolio , professional discussion, and the work-based project.
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
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
