How you’d get this certificate
- Zavmo teaches you. You learn the units one-to-one with an AI tutor, on your own work.
- You register with an approved centre. That is a college, training provider or employer Cambridge OCR has approved to offer this qualification. Zavmo is not an approved centre, so you register with them, not with us.
- The centre assesses, and Cambridge OCR awards. A qualified assessor at the centre judges your evidence, and the certificate comes from Cambridge OCR.
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. Zavmo teaches towards them on your own work, and work done here is recognised as prior learning under the agreements we hold.
Zavmo is not an awarding body, is not an approved centre, and is not affiliated with Cambridge OCR. It does the teaching and the mapping. Cambridge OCR sets this qualification and awards it, and a qualified human assessor makes the assessment decision.
Free first step
Try a free Future Fluency lesson first
The free part is a Future Fluency lesson on using AI at work. It is not part of this qualification. Next, a free account. We build your plan for this qualification as you set up. Teaching towards this qualification begins when you subscribe.
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What each unit actually teaches you to do
Big data and machine learning Real unit · Cambridge OCR
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 marketing Real unit · Cambridge OCR
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
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 visualisation Real unit · Cambridge OCR
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 analytics Real unit · Cambridge OCR
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 design Real unit · Cambridge OCR
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 modelling Real unit · Cambridge OCR
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 national standards these units are built against
What the job actually needs, in the words employers and awarding bodies already use for the work itself.
- Standard
Assist in developing data visualisations
- Standard
Develop and communicate data visualisations
- Standard
Produce data visualisations to support business insights
- Standard
Use analytics to improve the effectiveness of digital content
The jobs these credits are mapped to
A qualification is never a dead end here. Each of these is a job record this qualification is a mapped route into.
- 1 record
- 1 record
- 1 record
- 1 record
- 1 record
- 1 record
Showing 6 roles, drawn from 114 job records mapped to this qualification. Near-identical records are folded together, and each row says how many it stands for.
Where this can lead
Data Visualisation Associate
This role can lead to work as a Senior Data Visualisation Analyst, taking on trickier technical challenges and mentoring others.
See the whole journeyThe credits, and who awards them
Level 3 credits are regulated, and they are awarded by Cambridge OCR rather than by Zavmo. 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 have covered and what is next.
What you would be collecting
Big data and machine learningData and digital marketingData and the Internet of Everything (IoE)Data visualisationFundamentals of data analyticsRelational database designSpreadsheet data modelling
Each one is a real unit registered against this qualification.
How you’d practise it
You don’t watch this. You do it.
You are not assessed on remembering this. You are assessed on applying it, analysing it, evaluating it and producing something. So that is what the practice is: projects, role play and your own live cases, with a tutor in the room.
The Coach · your practice partner Illustration - Pitch it Evaluate
“Data and digital marketing” gets practised as a pitch. You make the case out loud, Zavmo asks the question the room would ask, and you make it again.
- Map a live decision Analyse
“Big data and machine learning” runs on a decision you are facing now. Zavmo maps it with you and shows what the second-order effect looks like before you find out the slow way.
What you leave holding
The standards this credential builds, in the shape the product keeps them
Nothing here is marked learned. There is no learner on a public page, so the map shows what the qualification covers rather than what anybody has done.
- Assist in developing data visualisations
- Develop and communicate data visualisations
- Produce data visualisations to support business insights
- Use analytics to improve the effectiveness of digital content
How you would learn this
One to one, on the work you already do
A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.
A lesson from Big data and machine learning, one of this qualification's own units.
Applied to your work in any of these jobs
This unit provides an understanding of big data characteristics, management challenges, and infrastructure requirements. Learners will examine legal, ethical, environmental, and societal issues, alongside exploring the relationship between big data, machine learning, and artificial intelligence.
- 1 Remember
- 2 Understand
- 3 Apply
- 4 Analyse
- 5 Evaluate
- 6 Create
It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time. Teaching towards this qualification begins when you subscribe.
Built for Cambridge OCR Level 3 Alternative Academic Qualification Cambridge Advanced National in IT: Data Analytics (Certificate)
7 units in this credential, in the order it lists them, awarded by Cambridge OCR.
- Big data and machine learning
- Data and digital marketing
- Data and the Internet of Everything (IoE)
- Data visualisation
- Fundamentals of data analytics
- Relational database design
and 1 more in the full unit list below.
Free tools
Want a read on where you stand?
Three free tools, no account needed. Each one ends with a role, a level and a way in.
Learned on your own work, taught one-to-one.
Everything you just read, learned one-to-one on the job you already do. Your free first module is Future Fluency, so you can see how the teaching works before you pay for anything.
Build my plan, freeNo 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.
The title, level, credits, guided learning hours and unit learning outcomes on this page are taken from the Ofqual Register of Regulated Qualifications. Contains public sector information licensed under the Open Government Licence v3.0. Where this data comes from.