NOCN
    Level 4
    QN: 610/4462/3
    Curriculum Active

    NOCN Level 4 certificate for Data Analysts

    Official qualification regulated by Ofqual, awarded by NOCN. Classified as a Vocationally-Related Qualification. Total guided learning hours: 158 hours.

    Qualification Level
    Level 4
    Awarding Body
    NOCN
    Syllabus Units
    5 Units
    Guided Hours
    158 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 Analytics Primer

    Verified
    Key Learning Objectives:
    • Understand the fundamental concepts of data analytics.
    • Understand stages of the data analysis lifecycle.
    • Understand data types and structures.
    • Know the role of data in the enterprise.
    • Know the importance of GDPR and compliance.
    2

    Data Architecture

    Verified
    Key Learning Objectives:
    • Understand the principles and concepts of data architecture.
    • Understand the principles and concepts of IoT and streaming data.
    • Understand the principles and concepts of big data platforms.
    • Understand the principles and concepts of cloud platforms.
    3

    Data Engineering

    Verified
    Key Learning Objectives:
    • Understand how to handle data.
    • Be able to use data engineering tools and techniques.
    • Understand the Principles and Concepts of Data Modelling.
    • Understand the Principles and Concepts of Data Quality.
    • Understand the Principles and Concepts of Data Cleansing and Imputation.
    4

    Data Visualisation

    Verified
    Key Learning Objectives:
    • Understand the principles and concepts of EDA.
    • Understand the principles and concepts of data visualisation and dashboards in R.
    • Know how to use data visualisation in python.
    • Understand the importance of user requirements and interactions.
    5

    Practical Data Science

    Verified
    Key Learning Objectives:
    • Understand statistical principles.
    • Know how to use regression techniques.
    • Know how to use machine learning for forecasting and prediction.
    • Know how to use machine learning for model creation and tuning.
    • Know how to use natural language processing.
    • Know how to apply skills in data mining.

    Regulatory & Verification Details

    Qualification Number (QN)
    610/4462/3
    Regulated Status
    Available to learners
    Awarding Body
    NOCN
    Qualification Type
    Vocationally-Related Qualification
    Operational Start
    Aug 2024