Gateway Qualifications
    Level 4
    QN: 610/6307/1
    Curriculum Active

    Gateway Qualifications Level 4 Certificate in Professional Practice in Data Analytics with Artificial Intelligence

    Official qualification regulated by Ofqual, awarded by Gateway Qualifications. Classified as a Vocationally-Related Qualification. Total guided learning hours: 98 hours.

    Qualification Level
    Level 4
    Awarding Body
    Gateway Qualifications
    Syllabus Units
    4 Units
    Guided Hours
    98 hrs
    Instant access to interactive lessons, quizzes, and spaced revision.

    Course Syllabus & Study Modules

    Complete breakdown of verified curriculum topics and learning objectives.

    1

    Data preparation, analysis and visualisation

    Verified
    Key Learning Objectives:
    • Understand core concepts of data analytics.2.
    • Understand key stages of the Data Analytics Life Cycle.3.
    • Be able to evaluate different data types.
    • Understand key data analytics and visualisation tools.
    • Be able to demonstrate effective data visualisations that analyse and interpret datasets.6.
    • Be able to demonstrate effective data handling techniques.7.
    • Be able to apply advanced visualisation techniques to analyse complex datasets.
    • Be able to design and execute a basic data analysis project.
    2

    Databases with SQL, ethics and machine learning

    Verified
    Key Learning Objectives:
    • Be able to demonstrate effective data management techniques.2.
    • Be able to demonstrate knowledge of key machine learning principles and apply models using Python.3.
    • Understand the significance of data standards, legal and regulatory frameworks for responsible data use.4.
    • Be able to design and execute a basic data analysis project.
    3

    Foundations of data analytics with Python

    Verified
    Key Learning Objectives:
    • Be able to demonstrate core Python programming skills for data analytics.2.
    • Be able to apply statistical concepts and techniques to explore and interpret data.3.
    • Be able to demonstrate data handling in the context of data science.
    4

    Statistical and probabilistic methods in data analysis

    Verified
    Key Learning Objectives:
    • Be able to apply descriptive statistical techniques to summarise datasets.
    • Be able to apply descriptive statistical techniques using spreadsheets.3.
    • Be able to apply probability concepts, rules, and distributions to conduct business analysis using spreadsheets.

    Regulatory & Verification Details

    Qualification Number (QN)
    610/6307/1
    Regulated Status
    Available to learners
    Awarding Body
    Gateway Qualifications
    Qualification Type
    Vocationally-Related Qualification
    Operational Start
    Sept 2025