Qualifi Ltd · RQF Level 3
Qualifi Level 3 Extended Diploma in IT and Data Science
You don’t just earn this. You learn to use it, one-to-one, on your own real work.
- LevelRQF Level 3
- Total credits180
- Guided learning1,009 hours
- Units in this qualification26
Awarded by Qualifi Ltd · on the Ofqual register
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Ten quick questions, one per Future Fluency, asked against this qualification rather than a generic one.
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What you’ll learn
What each unit actually teaches you to do
This Level 3 qualification provides learners with knowledge and skills relevant to the IT and data science sectors. It covers topics such as cyber security, coding, website development, and logistic regression. Successful candidates will gain an understanding of business resources and network management.
These are the units Qualifi Ltd 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.
An Introduction to MarketingReal unit · Qualifi Ltd
What you'll be able to do
- Know the importance of marketing within an organisation.
- Understand the processes involved in marketing research.
- Understand the processes involved in marketing planning.
- Understand how customer groups are targeted.
- Understand why customer groups are targeted.
- Develop a coherent marketing mix.
An Introduction to the Business EnvironmentReal unit · Qualifi Ltd
What you'll be able to do
- Know different types of businesses and their ownership structures, including sole traders, partnerships, and limited companies.
- Understand the different types of stakeholders that businesses have.
- Understand how businesses are organised, including different organisational structures and departments.
- Understand how businesses achieve their target purpose, including setting objectives and developing strategies.
- Identify legal, political, and social factors that can affect businesses, such as employment law, government policies, and consumer trends.
Business ResourcesReal unit · Qualifi Ltd
What you'll be able to do
- Know how human resources are managed within a business context, including recruitment, training, and performance management.
- Understand the purpose of managing physical and technological resources effectively, ensuring efficient business operations.
- Identify ways to access different sources of finance for a business, including loans, grants, and investment.
- Understand the purpose and content of key financial statements, such as balance sheets and income statements.
Coding and Website DevelopmentReal unit · Qualifi Ltd
What you'll be able to do
- Understand the purpose and different types of coding languages and their applications.
- Understand web architecture and its key components, including servers, databases, and front-end technologies.
- Create interactive websites using appropriate coding languages and web development tools.
Communication and Cultural Skills for Higher EducationReal unit · Qualifi Ltd
What you'll be able to do
- Communicate fluently, accurately and effectively, speaking on a range of topics, with appropriate control of grammar, vocabulary and register.
- Understand different learning styles.
- Understand the concept of culture, cultural values and how different cultures can be defined.
- Understand academic culture and conventions.
Computer SystemsReal unit · Qualifi Ltd
What you'll be able to do
- Understand the purpose of computer systems and their role in various applications.
- Understand the different components of a computer system, including hardware and software, and their functions.
- Configure computer systems to meet specific requirements, including installing software and configuring hardware settings.
Creating and Interpreting Visualisations in Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand the role and importance of visualising data for analysis and communication
- Understand the purpose and application of basic plots and charts in data visualisation
- Create and interpret plots and charts to effectively represent and analyse data
Cyber SecurityReal unit · Qualifi Ltd
What you'll be able to do
- Understand the fundamental principles of cyber security.
- Understand core terminology and key aspects of cyber security, including common threats and vulnerabilities.
- Understand the purpose and application of cyber threat intelligence in mitigating risks.
Data Analytics with PythonReal unit · Qualifi Ltd
What you'll be able to do
- Load data from various sources and save data in different formats using Python.
- Perform basic data wrangling techniques and conduct exploratory data analysis using Python.
- Perform basic data cleaning tasks, such as handling missing values and outliers, using Python.
- Perform basic data transformation tasks, such as scaling and normalisation, using Python.
Data and Descriptive Statistics in Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand the different types of data (e.g., numerical, categorical) and their characteristics.
- Understand various measures of central tendency (e.g., mean, median, mode) and their interpretation.
- Understand various measures of spread (e.g., variance, standard deviation, range) and their interpretation.
- Understand measures of symmetry (skewness) and peakness (kurtosis) in data distributions.
- Understand measures of joint variability (covariance) and linear relationship (correlation) between variables.
Decision Trees in Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand the fundamental principles of decision trees in the context of data science.
- Understand the applications of decision trees in solving data science problems.
- Understand the different components of a decision tree, such as nodes, branches, and leaves.
- Understand how to construct a decision tree using various algorithms.
- Understand the process of splitting nodes based on different criteria.
- Perform calculations using decision tree metrics, such as entropy, information gain, and Gini impurity.
- Interpret the results of these calculations.
- Apply these metrics to optimise the structure of a decision tree.
- Build a decision tree model using appropriate software tools and libraries.
- Train and test the model using relevant datasets.
- Evaluate the performance of the model using appropriate metrics.
- Refine and improve the model based on the evaluation results.
English for Higher EducationReal unit · Qualifi Ltd
What you'll be able to do
- Utilise different ‘pre’, ‘while’ and post reading strategies to understand academic texts.
- Demonstrate an appropriate academic vocabulary.
- Structure sentences, paragraphs and full texts to suit academic requirements.
- Utilise ‘pre’, ‘while’ and post listening strategies to understand different speakers and academic topic information.
Fundamentals of Data AnalyticsReal unit · Qualifi Ltd
What you'll be able to do
- Understand the processes and different types of data analytics used in various contexts.
- Understand the components and interactions within the data analytics ecosystem.
- Understand the common issues that affect data quality and the methods used to address them.
- Understand the issues involved in basic data transformations and the methods used to perform them.
Graphs and Graph Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand different types of graphs and their properties.
- Understand the core types of graph data models.
- Understand the graph ecosystem.
- Understand the types of graph data science and graph algorithms.
Human Resource ManagementReal unit · Qualifi Ltd
What you'll be able to do
- Know the internal and external factors involved in human resources planning in an organisation, such as skills gaps and economic conditions.
- Understand how an organisation motivates its employees, including different motivational theories and techniques.
- Know how organisations manage and measure employee performance, including performance appraisal methods and feedback mechanisms.
- Understand how organisations cooperate with their employees, including employee relations and communication strategies.
K-means Clustering in Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand the underlying theory of k-means clustering, including its assumptions and limitations.
- Understand the concept of centroids and how they are used in k-means clustering.
- Understand the iterative process of assigning data points to clusters and updating centroids.
- Understand how to evaluate the quality of k-means clusters using metrics such as the silhouette score and the Davies-Bouldin index.
- Understand the importance of choosing an appropriate number of clusters (k).
- Create a k-means model using appropriate software tools and libraries.
- Pre-process data to ensure it is suitable for k-means clustering.
- Determine the optimal number of clusters for a given dataset.
- Evaluate the performance of the k-means model using appropriate metrics.
- Interpret the results of the clustering and draw meaningful conclusions.
Linear Regression in Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand the basic theory underpinning linear regression
- Understand regression metrics and how to evaluate the performance of a regression model
- Perform regression calculations and analysis using appropriate techniques
- Create linear regression models using relevant software tools
Logistic Regression in Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand the basic theory of logistic regression.
- Perform logistic regression calculations.
- Create logistic regression models.
Machine Learning Methods and Models in Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand the fundamental concepts of basic supervised machine learning models and their applications.
- Understand the fundamental concepts of basic unsupervised machine learning models and their applications.
- Understand the fundamental concepts of basic reinforcement learning and its applications.
Mobile CommunicationsReal unit · Qualifi Ltd
What you'll be able to do
- Understand the various uses and features of mobile communication devices in different contexts.
- Understand the communication technologies used in mobile devices, including cellular networks, Wi-Fi, and Bluetooth.
- Understand the implications of mobile communications technology, including security, privacy, and ethical considerations.
NetworksReal unit · Qualifi Ltd
What you'll be able to do
- Understand fundamental networking principles, including network topologies, protocols, and addressing schemes.
- Understand how network hardware and software components are connected and configured to enable communication.
- Understand the usage of networking technologies and the associated security concerns, including common network vulnerabilities and threats.
Python for Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand the design philosophy and key features of the Python programming language
- Understand Python’s basic data types and their characteristics
- Create and manipulate lists and tuples using Python
- Create and manipulate sets and dictionaries using Python
- Write Python functions and flow statements to control program execution
Social Media for BusinessReal unit · Qualifi Ltd
What you'll be able to do
- Understand the importance of using social media in a business environment.
- Understand the need for social media content planning and publishing in a business environment.
- Develop a policy and a plan to use social media in a business environment.
Synthetic Data for Privacy and Security in Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand the core issues related to data privacy and security in data science.
- Understand the basics of differential privacy and its role in protecting sensitive data.
- Understand the core issues surrounding the use of synthetic data in data science.
- Understand the components and interactions within the synthetic data ecosystem.
- Create anonymised or fake data using appropriate techniques and tools.
The Field of Data ScienceReal unit · Qualifi Ltd
What you'll be able to do
- Understand the core issues and fundamental concepts within the field of data science
- Understand the core issues relating to data and big data management and analysis
- Understand the core issues and applications of artificial intelligence
- Understand the core issues and techniques associated with machine learning
- Understand the core issues and applications of deep learning
The Machine Learning ProcessReal unit · Qualifi Ltd
What you'll be able to do
- Understand the overall machine learning process, from data collection to model deployment
- Understand the data preparation process required for building effective machine learning models
- Understand how to evaluate the performance of machine learning models using appropriate metrics
- Evaluate classification models using relevant techniques and metrics
- Understand the issues of bias and variance in machine learning models and how to mitigate them
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.
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 tutorsWhere 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.
- Assist in developing and validating machine learning solutions
- Assist in developing data visualisations
- Carry out data manipulation
- Develop algorithms and pipelines for the analysis of life science data
- Develop and communicate data visualisations
- Develop and implement machine learning algorithms
- Develop and maintain a marketing information system
- Identify Cyber Security Threats and Vulnerabilities
Where this can lead
Senior Synthetic Data Engineer
Your journey here is about continuous growth, whether that's becoming a deeper technical expert, a leader of people, or a strategic visionary. We're committed to providing the opportunities and support for you to build a truly impactful and rewarding career in this fascinating and critical field.
See the whole journey →Showing 6 roles, drawn from 322 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.
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.
Applied to your work in any of these jobs
Learners will gain knowledge of marketing principles, including its role in organisations, marketing research and planning, customer targeting, and the development of coherent marketing mixes. The unit covers the impact of marketing activities on business performance.
- Remember
- Understand
- Apply
- Analyse
- Evaluate
- Create
Built for Qualifi Level 3 Extended Diploma in IT and Data Science
26 units in this credential, in the order it lists them, awarded by Qualifi Ltd.
- An Introduction to Marketing
- An Introduction to the Business Environment
- Business Resources
- Coding and Website Development
- Communication and Cultural Skills for Higher Education
- Computer Systems
and 20 more in the full unit list below.
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.
- Your actual work Every unit is taught against a live piece of your own work, not a worked example from a textbook.
- 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.
- 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.
- 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.
- 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.
- 6CreateThe Creative Catalyst
- 5EvaluateThe Evidence Evaluator
- 4AnalyseThe Analyst
- 3ApplyThe Coach
- 2UnderstandThe Connector
- 1RememberThe Builder
Where most courses leave you Where Zavmo takes you
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, 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.