How you’d get it

How you’d get this certificate

  1. Zavmo teaches you. You learn the units one-to-one with an AI tutor, on your own work.
  2. You register with an approved centre. That is a college, training provider or employer NCFE has approved to offer this qualification. Zavmo is not an approved centre, so you register with them, not with us.
  3. The centre assesses, and NCFE awards. A qualified assessor at the centre judges your evidence, and the certificate comes from NCFE.

More on studying for a qualification

01What it is

This qualification is designed to provide learners with the knowledge, skills and behaviours (KSBs) relevant to developing competence in data. This qualification will provide employers with reliable evidence of a learner’s attainment against occupational standard KSBs that form the minimum requirements for entry into occupation.

These are the units NCFE 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 NCFE. It does the teaching and the mapping. NCFE 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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02The units

What each unit actually teaches you to do

Blending and merging data Real unit · NCFE
It teaches you to understand the importance of filtering data and the value of blended data for enhanced business insights. You'll learn to manipulate, link, and audit data using various blending techniques to meet project requirements.

What you'll be able to do

  • Understand how to filter data
  • Understand the value of blended data and manipulate, link and audit data
Collaboration and continuing professional development (CPD) Real unit · NCFE
This unit provides learners with an understanding of digital transformation and its impact on data-related roles and business contexts. You'll explore continuing professional development, multidisciplinary teamwork, stakeholder engagement, and prioritisation skills within projects.

What you'll be able to do

  • Understand digital transformation
  • Understand learning techniques and sources of knowledge, and review own development needs and continuing professional development (CPD) of data related occupations
  • Understand multidisciplinary teams and working with others
  • Understand technical and non-technical stakeholders and apply prioritisation skills within a project
Data architecture and legislation Real unit · NCFE
This unit covers the principles of data architecture and its role in supporting business strategy. You'll understand legal and regulatory requirements for data management and develop skills to store, manage, and distribute data in compliance with relevant standards and legislation, including ethical considerations.

What you'll be able to do

  • Understand data architecture
  • Understand legal and regulatory requirements and store, manage and distribute data in compliance with standards and legislation
  • Understand the ethical use of data
Data cleansing Real unit · NCFE
You'll explore common data quality issues such as inconsistent data, human error, and compliance challenges. The unit develops skills in applying data cleansing measures and cross-checking methods to test and assess confidence and integrity in data.

What you'll be able to do

  • Understand common data quality issues, apply data cleansing measures and test and assess confidence and integrity in data
  • Understand and apply cross-checking methods validation and verification
Data fundamentals Real unit · NCFE
You'll gain a comprehensive understanding of data fundamentals, including its value, types, sources, and role in digital interactions. The unit covers data collection, collation, formatting, and storage to meet organisational requirements.

What you'll be able to do

  • Understand the value, types and sources of data
  • Understand the use of data and how to extract data from a range of sources
  • Understand how data underpins digital interactions and how it is obtained through customer centric interactions
  • Understand and be able to collect, collate and format data and save to meet requirements
Data visualisation Real unit · NCFE
This unit focuses on the use of data management and visualisation tools to communicate data effectively. You'll apply visualisation techniques and utilise appropriate software to manage, summarise, display, and present data to specific audiences.

What you'll be able to do

  • Understand data management and visualisation tools and apply visualisation tools and techniques to communicate data
Presentation and communication of data Real unit · NCFE
You'll understand and apply various communication methods, formats, and techniques appropriate for data use. The unit includes developing skills to present and communicate data effectively, including summarising data within technical documentation.

What you'll be able to do

  • Understand and apply communication methods, formats and techniques appropriate for the use of data
  • Understand technical documentation and summarise data within a technical document
Statistical analysis Real unit · NCFE
You'll develop knowledge and skills in applying data modelling techniques, statistical methods, and algorithms for data analysis. The unit covers extracting relevant data, normalising data, and identifying trends and patterns using statistical approaches.

What you'll be able to do

  • Understand and apply data modelling, statistical methods and algorithms
03The standards

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.

  • Assist in developing data visualisations

    Standard
  • Cleanse Data to Resolve Quality Issues

    Standard
  • Develop and communicate data visualisations

    Standard
  • Direct Security Architecture Development

    Standard
  • Direct information security architecture activities

    Standard
  • Manage DevOps activities

    Standard
  • Produce data visualisations to support business insights

    Standard
  • Store, archive and curate data from life science

    Standard
04Where it leads

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.

Showing 6 roles, drawn from 59 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 journey
05The credits

The credits, and who awards them

Level 3 credits are regulated, and they are awarded by NCFE 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

Blending and merging dataCollaboration and continuing professional development (CPD)Data architecture and legislationData cleansingData fundamentalsData visualisationPresentation and communication of dataStatistical analysis

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 Analyst The Analyst · your map-it-properly tutor Illustration
The Analyst In “Blending and merging data” you have moved the target from 48 hours to 24. Where does that time come from?
You The team prioritises better, I suppose.
The Analyst Or it comes out of the follow-ups, and reopened cases climb in about six weeks. Let us map it and find out which, before it is a surprise.
The same lesson on the real thing: the conversation in the middle, the thinking ladder on the left, and the criteria each answer is evidencing on the right.
  • Map a live decision Analyse

    “Blending and merging data” 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.

See Your Progress Grow Illustration
NCFE Level 3 Technical Occupational Entry for the Data Technician (Diploma)
  • Assist in developing data visualisations
  • Cleanse Data to Resolve Quality Issues
  • Develop and communicate data visualisations
  • Direct Security Architecture Development
  • Direct information security architecture activities
  • Manage DevOps activities
  • Produce data visualisations to support business insights
  • Store, archive and curate data from life science
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.

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 Blending and merging data, one of this qualification's own units.

Blending and merging data Level 3

Applied to your work in any of these jobs

This unit enables learners to understand the importance of filtering data and the value of blended data for enhanced business insights. Learners will develop skills to manipulate, link, and audit data using various blending techniques to meet project requirements.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 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.

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.

Your Plan Illustration

Built for NCFE Level 3 Technical Occupational Entry for the Data Technician (Diploma)

8 units in this credential, in the order it lists them, awarded by NCFE.

  1. Blending and merging data
  2. Collaboration and continuing professional development (CPD)
  3. Data architecture and legislation
  4. Data cleansing
  5. Data fundamentals
  6. Data visualisation

and 2 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.

Free tools

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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.

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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.