Turn your spreadsheets into business insights
Master Excel, SQL, Python, and Power BI in a self-paced online programme built for full-time professionals. No cost to you.
Learn with 1:1 feedback from 150+ experts from:
Apprenticeship standard
Data Analyst Level 4
Duration
24 months
End Point Assessment (EPA)
3 months
Worth
£ 17,000
Who is this training for?
This programme is for professionals who already work with data and want to move beyond basic reporting. If you use spreadsheets, reports, or dashboards to support decisions but haven’t had formal analytics training, it’s designed for you.
You don’t need “analyst” in your job title - learners join from marketing, finance, HR, operations, customer insights, and more. What they share is the need to interpret data, spot trends, and present clear findings to colleagues and managers.
Eligibility criteria:
Employed in England for 30+ hours per week
Current role involves working with data regularly
Aged 16+ (no upper age limit)
Able to commit to a minimum of 6 hours of off-the-job training per week
Blended learning with up to 20 practical projects
Future-proofed curriculum
Self-paced, 100% online
1:1 mentoring and community access
Fit learning into your life
This programme is designed to fit alongside a full-time role - fully online, self-paced, and 6 hours a week, whenever it suits you. From day one, you’ll have a personal tutor for monthly 1-to-1s and access to 150+ industry mentors for support.
Learn new tools to level up
Go beyond spreadsheets. Start with what you already know, like Excel, then get hands-on experience with SQL, Python, and Power BI - tools that save time and reveal insights you’d never see in spreadsheets alone.
Advance your career
This programme gives you practical skills you can use right away - from building dashboards and running forecasts to presenting insights that drive decisions. With project-based learning, 1:1 expert feedback, and a nationally recognised qualification, you’ll be ready to take your career to the next level.
Programme overview
The training is structured around four core modules that guide you from spreadsheets to Python, from dashboards to predictive models - even if you’ve never written a line of code before.
You’ll build practical skills step by step, starting with tools like Excel and moving into Python, SQL and data storytelling. All learning is hands-on, with projects reviewed by experienced data analysts.
Core modules
Introduction to Data Analytics
You’ll start by learning how data analytics works in a real business context. Using tools like Excel, Google Sheets and BigQuery, you’ll practice cleaning, structuring and querying data, even if you’ve never done it before. This module helps you build strong foundations for every data task you already touch, from spreadsheets to reports to day-to-day decisions.
Python Foundations
If you’ve never written code before, this is where you’ll start. You’ll learn Python by doing, using real-world examples to automate repetitive tasks, process large datasets, and build reusable scripts. By the end, you’ll be confident using tools like Pandas to save time and get clearer insights from your data.
Communicating Analysis Results
This module focuses on one of the most overlooked skills: making your findings understandable and impactful. You’ll build interactive dashboards in Tableau and Power BI, then sharpen your presentation and storytelling skills so that your insights convince colleagues, managers and decision-makers.
Main Analysis Types
Here, you’ll learn how to apply practical analysis methods like cohort analysis, customer segmentation, and A/B testing. You’ll work through common business scenarios (like how to understand customer behaviour, track product performance or evaluate a marketing campaign) using tools you’ll actually use on the job.
Optional specialisations
Apprentices can tailor their learning with additional industry-focused modules, such as:
Product Analyst
In this module, learners dive into the world of product analysis. They’ll work with user event data, applying additional logic to extract valuable insights. While the specific analyses may vary depending on the industry and company size, we'll focus on three key areas: Funnel analysis, Ad-hoc analysis, Running A/B tests.
Marketing Analyst
Get ready to explore the dynamic role of a marketing analyst! In this module, learners work with digital ads data, user event data, and various marketing campaign metrics. We'll focus on: Calculating marketing metrics, Analysing ad performance, Running A/B tests.
End Point Assessment (EPA)
At the end of the programme, you’ll complete an End Point Assessment to show everything you’ve learned. You’ll present a real work project, share your portfolio, and have a professional discussion about your work. Pass this stage and you’ll earn the nationally recognised Level 4 Data Analyst qualification - proof you can analyse data, build dashboards, run forecasts, and turn insights into real business impact.
How to get in
Our application process consists of three steps.
Book a free, non-binding consultation
Get all the information about the programme and funding.
Speak to your manager
We’ll help you bring this opportunity up to your manager.
Complete your application
Tell us about your role and career goals. We’ll help ensure the programme is right for you.
Learn from industry experts
Get feedback from over 150 active mentors — professionals with 5+ years’ experience at companies like Google, Spotify and Meta. Every project you complete is reviewed 1:1, giving you personalised, practical advice you can apply immediately in your role.
Vytautas Bielinskas
Senior Data Scientist at IBM
Udeme Udofia
Senior Analyst at Jobber
Ajibola Ladoja
Manager, People Analytics at Western Union
Vaiva Augustinaitė
Head of FIC Quant Applications at Danske Bank
What professionals like you say
“I had a great experience! I particularly enjoyed the mentor sessions that enhanced my decision-making and practical skills, like using Power BI at work. The overall learning experience was highly rewarding.”
Jelizaveta
Investor Relations Service Manager and Team Lead @Nasdaq
“The training programs are practical, well-structured, and tailored to real-world business needs, helping employees develop valuable data skills that can be applied immediately.”
Evelina
Senior Manager, Business Excellence @Thermo Fisher Scientific Baltics
“The programme offers a good balance in terms of teaching method — self-study vs. group work vs. expert advice, global best practices and local relevance. The cost-benefit balance with government support made it an easy choice.”
Auksė
Senior Vice President – Capability Center Country Head for Lithuania @Moody’s
FAQ
Do I need to be a data analyst to take this course?
No, and many learners aren’t. This programme is for people who work with data, not just those who have “analyst” in their job title. If you’re using Excel, building reports or helping teams make decisions with data, you’ll benefit from learning how to analyse, visualise and automate that work.
You’ll gain tools and techniques that apply directly to jobs in marketing, sales, HR, finance, operations, and more.
Do I need previous coding experience?
No. You’ll start with tools you already know, like Excel, and build up to SQL and Python step by step—even if you’ve never written a line of code before.
What qualification will I get?
You’ll earn a nationally recognised Level 4 Data Analyst Apprenticeship qualification, which is equivalent to the first year of university or a foundation degree. It’s respected across industries and can be a springboard to new opportunities, especially if you don’t have a degree in data or a related field.
How much does the programme cost, and who pays for it?
If your employer pays the Apprenticeship Levy, it’s 100% government-funded. If not, they’ll usually only pay 5%, and we can often help arrange a levy transfer to cover even that. For learners, there’s no cost at all.
Is this Data Analyst apprenticeship programme only for young people or school leavers?
Not at all. This programme is designed for professionals of all ages who want to upskill while working full time. Most of our learners are already in roles like marketing, finance, operations or admin and use data regularly, even if they’ve never had formal training.
Modern apprenticeships are used by organisations of all sizes to develop internal talent — they’re not limited to early-career learners.
How can I enroll in this Data Analyst training programme?
If you're an employee, the first step is to speak with your manager or HR team about joining the programme. Once your company agrees to support your training, we’ll guide you through a simple application and onboarding process.
If you're an employer looking to enrol team members, just get in touch with our team. We'll walk you through eligibility, funding options, and how to get your employees started.
What skills will I gain?
- Managing the full data lifecycle: from gathering requirements to presenting insights
- Advanced analysis: statistical models, forecasting, predictive analytics
- Handling structured and unstructured data, managing data quality
- Using key tools (SQL, Python, R, Power BI/Tableau)
- Translating data into clear visuals and presentations
- Identifying trends and hidden patterns
What career progression is possible after completion?
Graduates often move into roles such as:
- Senior Data Analyst
- BI Lead
- Data Scientist
- Analytics Manager
Ready to save hours on data tasks every week?
Book your free consultation today. No obligation. Just a clear plan on how to secure funding and start the programme.
Boom Training Ltd
Unit 1 Azera, Capstan Rd, Southampton SO19 9UR
201 Borough High Street, London
hello@boom-training.com
