Key Facts
Qualification purpose
Updating and continuing professional development (CPD)
Qualification Grading Type
Pass
Assessment Methods
Why choose this qualification?
This is a restricted qualification and is not available for general use.
Rules of Combination
In an era where data fuels innovation and artificial intelligence reshapes industries, the Level 4 Certificate in Professional Practice in Data Analytics with Artificial Intelligence offers a powerful gateway into one of the most in-demand fields of the digital age. This qualification is designed for aspiring data professionals who want to build practical, job-ready skills in analytics, programming, and ethical AI deployment.
Through a carefully curated set of units, learners will gain hands-on experience with the tools, techniques, and thinking required to turn raw data into meaningful insights and intelligent solutions.
The Level 4 Certificate in Professional Practice in Data Analytics with Artificial Intelligence content has been developed in partnership with Code Institute.
Units
Learners must achieve all 4 mandatory units.
Data preparation, analysis and visualisation
Databases with SQL, ethics and machine learning
Foundations of data analytics with Python
Statistical and probabilistic methods in data analysis
What is the purpose of this qualification?
The Level 4 Certificate in Professional Practice in Data Analytics with Artificial Intelligence combines the Level 4 Award in Foundations of Data Analytics with Artificial Intelligence - No Code with the Level 4 Award in Advanced Data Analytics with Artificial Intelligence - Low Code. It provides a complete pathway for learners with no background in data analytics to advanced low-code analytics in one qualification.
The qualification is designed to be relevant for both those in employment and those who are unemployed or reskilling. Employed learners apply skills directly to their workplace data challenges, increasing productivity and decision-making impact. Learners who are unemployed or seeking their first role use curated datasets and industry examples to build a portfolio that demonstrates competence and readiness for work across multiple sectors.
Generative AI is introduced as an assistive capability across the programme, helping learners with tasks such as code support, hypothesis generation, data cleaning, visualisation, and ethical risk checking. This ensures that learners are confident in using AI responsibly and productively.
By successfully achieving this qualification, learners will progress from beginner to advanced low-code analytics through a unified and practical learning journey, enhancing their employability, confidence, and readiness for data-driven roles.
What skills, knowledge, or understanding does this qualification develop?
The Certificate in Professional Practice in Data Analytics with Artificial Intelligence programme aims to:
• Build learners' confidence and capability in handling, analysing, and visualising data.
• Introduce the data lifecycle, classification, and key analytics tools without requiring programming.
• Foster foundational statistical understanding and ethical awareness in data handling.
• Enable learners to use AI-supported tools to accelerate insight generation and improve analysis workflows.
• Prepare learners for progression into further data education or digitally-enabled employment.
• Build learners' confidence and fluency in using low-code tools and introductory Python for data tasks
• Develop competence in statistics, machine learning, and ethical data practice
• Strengthen analytical thinking and business communication skills
• Introduce key database and data pipeline techniques with SQL
• Enable learners to use AI-supported tools to accelerate insight generation and improve analysis workflows.
Progression & entry requirements
There are no mandatory prior qualifications required for this award. It is designed for beginners and non-technical professionals who want to develop data literacy and confidence in using no-code and low code analytics tools. There are no specific prior skills/knowledge learners must have for this qualification, however learners should be proficient to at least Level 2 in English and Maths. It is recommended that learners have a working knowledge of spreadsheets, including tasks such as sorting, use of formulas, creating simple charts, and basic file management. Learners undertaking this qualification may be in employment, seeking work, or reskilling for a new role. For those in work, skills can be applied directly to workplace tasks and reporting. For those who are unemployed or reskilling, the qualification can be completed using curated datasets and industry scenarios to demonstrate employability. Centres must ensure that learners have the correct information and advice when selecting qualifications to ensure that the qualification will meet their needs. Centres must ensure that this qualification suits the age and abilities of their learners by ensuring that learners can meet the relevant literacy, numeracy, digital, and health and safety requirements of the qualification. Learners enrolled on this qualification should not undertake another qualification at the same level with a similar title or content, as this could impact funding eligibility due to duplicated learning. On completion of this qualification learners will be equipped with the knowledge, skills and understanding related to Professional Practice in Data Analytics with Artificial Intelligence. Successful completion of the Level 4 Certificate in Certificate in Professional Practice in Data Analytics with Artificial Intelligence will allow learners to progress onto: • Gateway Qualifications Level 4 Diploma in Data Analytics with Artificial Intelligence • Entry-level support roles in data-enabled tFunding information
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View this qualification on the ESFA’s Find a learning aim website
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View this qualification on the ESFA Qualification Funding Search
How to find a learning aim
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How to Use: Find a learning Aim
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