Cambridge OCR · RQF Level 3

Cambridge OCR Level 3 Alternative Academic Qualification Cambridge Advanced National in IT: Data Analytics (Extended Certificate)

You don’t just earn this. You learn to use it, one-to-one, on your own real work.

  • LevelRQF Level 3
  • Total credits46
  • Guided learning360 hours
  • Units in this qualification7

Awarded by Cambridge OCR · on the Ofqual register

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What you’ll learn

What each unit actually teaches you to do

Cambridge OCR Cambridge Advanced Nationals Applied Science qualification information including specification, exam materials, teaching resources, learning resources

These are the units Cambridge OCR registers against this qualification. It is a catalogue, not a syllabus. Which of them you take depends on the combination the qualification requires, and that is set by the awarding body rather than by us. Every unit here is regulated, and every one you earn is yours to keep.

Big data and machine learningReal unit · Cambridge OCR
This unit provides an understanding of big data characteristics, sources, and lifecycle stages. You'll explore infrastructure challenges, the relationship between big data, machine learning, and artificial intelligence, as well as legal, ethical, environmental, and societal issues.

What you'll be able to do

  • Understand the scope of managing big data.
  • Understand the infrastructure challenges of big data.
  • Understand the relationship between big data, machine learning and artificial intelligence.
  • Understand legal and ethical issues in data management.
  • Understand the impact of data management on the environment and society.
Data and digital marketingReal unit · Cambridge OCR
You'll gain knowledge of digital marketing principles and data-driven strategies. The unit covers planning and creating digital marketing content, stakeholder communication, and reflection on campaign processes and outcomes.

What you'll be able to do

  • Understand the fundamentals of digital marketing principles and strategies
  • Understand how data can be used to drive and improve digital marketing efforts
  • Plan digital marketing content that aligns with marketing objectives and target audiences
  • Create engaging and effective content for digital marketing campaigns across various channels
  • Communicate effectively with stakeholders regarding digital marketing activities and results
  • Reflect on and evaluate working processes to identify areas for improvement in digital marketing activities
Data and the Internet of Everything (IoE)Real unit · Cambridge OCR
You'll explore the Internet of Everything (IoE) ecosystem, including devices, networks, and cloud platforms. The unit covers data collection, processing, connectivity, human-computer interfaces, device security, and effective documentation for diverse audiences.

What you'll be able to do

  • Understand the components and interactions within an Internet of Everything (IoE) ecosystem
  • Understand data collection, processing, and storage methods and devices used in IoE systems
  • Understand connectivity and data transmission protocols relevant to IoE devices
  • Understand the principles of Human Computer Interfaces (HCIs) in the context of IoE
  • Understand methods for securing IoE devices against potential threats
  • Produce documentation to support IoE solutions and communicate effectively with the intended audience
Data visualisationReal unit · Cambridge OCR
This unit develops learners' understanding of data visualisation benefits and techniques. You'll plan and create data dashboards, communicate information clearly, interpret visual data, and evaluate the effectiveness of visualisation solutions.

What you'll be able to do

  • Understand the value and importance of data visualisation in various contexts
  • Plan for the creation of effective data dashboards based on specific needs
  • Apply appropriate techniques for creating a data dashboard that presents information clearly
  • Communicate information effectively and interpret data presented in visualisations
  • Evaluate the effectiveness of visualisation solutions in conveying insights and supporting decision-making
Fundamentals of data analyticsReal unit · Cambridge OCR
You'll gain foundational knowledge of data analytics, including types of data, data management, cross-platform access, and legal considerations. The unit also covers job roles, skills, and attributes relevant to data analytics professions.

What you'll be able to do

  • Understand data.
  • Understand how to manage data.
  • Understand how data can be accessed and managed across platforms.
  • Understand legal considerations related to data analytics.
  • Understand job roles, skills and attributes in data analytics.
Relational database designReal unit · Cambridge OCR
It teaches you to understand relational database concepts and plan database solutions. You'll create, test, and evaluate relational databases using appropriate management systems to ensure functionality and data integrity.

What you'll be able to do

  • Understand relational database concepts and terminology
  • Plan relational database solutions based on given requirements
  • Create relational databases using appropriate database management systems
  • Test relational database solutions to ensure functionality and data integrity
  • Evaluate the performance and suitability of database solutions
Spreadsheet data modellingReal unit · Cambridge OCR
You'll learn to plan, design, create, and evaluate spreadsheet models. The unit covers principles of spreadsheet modelling, data identification, and delivering clear outcomes based on specific scenarios.

What you'll be able to do

  • Understand the fundamental principles of spreadsheet modelling
  • Plan the design of a spreadsheet model to meet specific requirements
  • Create a functional spreadsheet model using appropriate tools and techniques
  • Deliver the outcomes of the spreadsheet model in a clear and understandable format
  • Evaluate the effectiveness and accuracy of the spreadsheet model

The honest bit

You’ve started things before

Most courses were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

Your passport

Every credit is a stamp you keep

Level 3 credits are regulated. They don’t vanish when a subscription ends or a website closes. They travel to any employer, and Zavmo keeps the map of what you’ve earned and what’s next.

Big data and machine learningData and digital marketingData and the Internet of Everything (IoE)Data visualisationFundamentals of data analyticsRelational database designSpreadsheet data modelling

Each stamp is a real unit registered against this qualification.

Who’d teach you this

The Evidence Evaluator

Assessor

Helps you show what you can actually do, gathering the evidence that proves it as you learn.

Meet all twelve tutors

Where this connects

Where these credits take you

A qualification is never a dead end here. See the jobs its credits open, the national occupational standards its units map to, and the future skills they quietly build.

See Your Progress GrowIllustration
Cambridge OCR Level 3 Alternative Academic Qualification Cambridge Advanced National in IT: Data Analytics (Extended Certificate)
  • Assist in developing data visualisations
  • Develop and communicate data visualisations
  • Produce data visualisations to support business insights
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

Where this can lead

Data Visualisation Associate

Your journey starts here, learning the fundamentals. But with dedication and a genuine curiosity, this role can open up a huge range of exciting career possibilities within data and beyond. We're here to help you get there.

See the whole journey →

Showing 6 roles, drawn from 209 job records mapped to this qualification.

Skills it covers

What the job actually needs. These are the standards the units are built against, in the words employers and awarding bodies already use for the work itself.

Assist in developing data visualisationsDevelop and communicate data visualisationsProduce data visualisations to support business insights

How you’ll actually learn this

One-to-one, on your own real work

A qualification is usually something done to you: sit the class, sit the exam, hope it sticks. Here it’s the opposite. You learn it one-to-one with a companion, on your own real work, and you keep going until you can use it, not just recall it.

One-to-one, on your real workNo lectures, no past-papers. Every unit is practised on the actual tasks your job throws at you, a tutor beside you, not a video in front of you.
Taught to the top, not the testMost courses stop at remembering. Your companion keeps climbing: analysing, judging, creating. That’s the part a machine can’t do for you.
Credits you keep, a map that continuesEvery unit is regulated and yours for good. The day you finish, Zavmo already knows the next role your new credits open.
Big data and machine learningLevel 3

Applied to your work in any of these jobs

This unit provides an understanding of big data characteristics, sources, and lifecycle stages. Learners will explore infrastructure challenges, the relationship between big data, machine learning, and artificial intelligence, as well as legal, ethical, environmental, and societal issues.

How the thinking builds
  1. Remember
  2. Understand
  3. Apply
  4. Analyse
  5. Evaluate
  6. Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.
Your PlanIllustration

Built for Cambridge OCR Level 3 Alternative Academic Qualification Cambridge Advanced National in IT: Data Analytics (Extended Certificate)

7 units in this credential, in the order it lists them, awarded by Cambridge OCR.

  1. Big data and machine learning
  2. Data and digital marketing
  3. Data and the Internet of Everything (IoE)
  4. Data visualisation
  5. Fundamentals of data analytics
  6. Relational database design

and 1 more in the full unit list below.

These are the real units of this credential, in its own order. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

  1. Your actual work Every unit is taught against a live piece of your own work, not a worked example from a textbook.
  2. What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
  3. The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
  4. How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
  5. Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

Why it sticks

Most courses stop at remembering

There’s a well-known ladder of how deeply you learn something, called Bloom’s Taxonomy. Most courses get you up the first two rungs: you remember some facts, you pass a test, you forget it. Real skill lives at the top. Judging, deciding, creating. And this isn’t a generic ladder: every rung has a named Zavmo tutor who walks you up it.

  1. 6CreateThe Creative Catalyst
  2. 5EvaluateThe Evidence Evaluator
  3. 4AnalyseThe Analyst
  4. 3ApplyThe Coach
  5. 2UnderstandThe Connector
  6. 1RememberThe Builder

Where most courses leave you Where Zavmo takes you

Why this matters: AI can already remember and understand for you. What it can’t do is take your real problem and judge the right call. So the only learning worth paying for is the learning that takes you to the top. That’s exactly what a tutor doing it with you, on your real work, is for.

The value

Why the companion is worth £70 a month

You’re not paying for the units. They’re regulated, and the same wherever you earn them. You’re paying for the one thing that decides whether you actually get there: a companion that makes them stick, on your real work.

That is one-to-one on this qualification, every day, on the work you already do, for £70 a month. Your first module is free, so you can see the teaching before you pay for any of it. Billed monthly, cancel any time and billing stops.

Earned on your own work, taught to the top.

Everything you just read, learned one-to-one on the job you already do. Your first module is free, so you can see the teaching before you pay for any of it.

Build my plan, free

No card. See how this qualification maps onto your role and meet the tutors who’d teach it, free. The learning begins when you subscribe. It’s £70 a month, billed monthly. Cancel any time and billing stops.