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 Qualifi Ltd has approved to offer this qualification. Zavmo is not an approved centre, so you register with them, not with us.
- The centre assesses, and Qualifi Ltd awards. A qualified assessor at the centre judges your evidence, and the certificate comes from Qualifi Ltd.
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. 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 Qualifi Ltd. It does the teaching and the mapping. Qualifi Ltd 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
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What each unit actually teaches you to do
An Introduction to Marketing Real 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 Environment Real 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 Resources Real 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 Development Real 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 Education Real 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 Systems Real 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 Science Real 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 Security Real 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 Python Real 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 Science Real 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 Science Real 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 Education Real 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 Analytics Real 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 Science Real 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 Management Real 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 Science Real 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 Science Real 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 Science Real 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 Science Real 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 Communications Real 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.
Networks Real 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 Science Real 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 Business Real 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 Science Real 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 Science Real 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 Process Real 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 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 and validating machine learning solutions
- Standard
Assist in developing data visualisations
- Standard
Carry out data manipulation
- Standard
Develop algorithms and pipelines for the analysis of life science data
- Standard
Develop and communicate data visualisations
- Standard
Develop and implement machine learning algorithms
- Standard
Develop and maintain a marketing information system
- Standard
Identify Cyber Security Threats and Vulnerabilities
- Standard
Perform Data Journalism
- Standard
Produce data visualisations to support business insights
- Standard
Visualise and interpret the results of computational analysis of life science data
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
- 2 records
- 1 record
- 3 records
- 4 records
- 1 record
Showing 6 roles, drawn from 221 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
Senior Synthetic Data Engineer
This work can lead into deeper technical specialism, into managing people, or into shaping data strategy at a senior level.
See the whole journeyThe credits, and who awards them
Level 3 credits are regulated, and they are awarded by Qualifi Ltd 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
An Introduction to MarketingAn Introduction to the Business EnvironmentBusiness ResourcesCoding and Website DevelopmentCommunication and Cultural Skills for Higher EducationComputer SystemsCreating and Interpreting Visualisations in Data ScienceCyber Security
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
“An Introduction to 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.
- Bring your own plan Create
For “Human Resource Management” you bring the plan you are actually working on, not a case study. Zavmo pulls on the assumptions in it until the weak one shows.
- Map a live decision Analyse
“Computer Systems” 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 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
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 An Introduction to Marketing, one of this qualification's own units.
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.
- 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 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.
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.