This Level 4 qualification provides learners with a range of knowledge and skills. Learners will also develop an understanding of the requirements of working in a Data Analyst role and for working in the data industry.

Key Aims

• Build a strong understanding of core concepts and the full data analysis lifecycle.
• Learn principles and best practices for designing and managing organizational data assets effectively.
• Gain skills to design, build, and manage data pipelines and infrastructure for efficient, reliable data collection, storage, processing, and transformation.
• Develop the ability to create clear, effective visualisations, choose appropriate representations, and communicate insights visually.
• Apply data science tools and techniques in real-world contexts: collect, clean, analyse, and interpret data, build predictive models, and generate actionable insights for decision-making.

• Data Analytics Fundamentals
• Data Architecture
• Data Engineering
• Data Visualisation
• Practical Data Science

Delivery:

The qualification is delivered via Instructor-Led live presentations and tutorials to guide your online distance learning.

Assessment

Assessment is by portfoio-based assignments.

Entry Requirement

CAPE Math, Statistics, Information Technology or level 3 qualification in Data Analytics/Science or significant experience in Data Analytics/Science is recommended.

Progression

Achievement of one of these qualifications confirms the learner has gained the knowledge and skills required to:

• Progress directly into employment as a Data Analyst or similar Role.
• Progress into the level 5 Diploma in Data Analytics or further learning at a higher level.