Data Science Practitioner

Introduction

Data is a critical business asset, but only when it is organised, analysed, and used effectively. Organisations need people who can turn raw data into meaningful insight. This Data Science Practitioner learnership builds practical capability to collect, prepare, and analyse data, and communicate insights that support better decisions. Whether your learners are starting out, moving into tech, or building a future-ready career, this course opens the door to roles like Data Analyst, Data Technician or Junior Data Practitioner. On successful completion of this course, learners are awarded: Occupational Certificate: Data Science Practitioner (SAQA ID: 118708)

Intended Audience

• Organisations building data and analytics capability or looking to strengthen insight-driven decision-making
• Teams working with operational or business data
• Individuals starting a career in data, analytics or IT
• School leavers interested in data and technology
• Professionals looking to move into data-related roles

Entry Criteria

• Grade 12
• NQF Level 4
• Basic computer understanding

Outcomes

• Collect large amounts of structured and unstructured data from primary and secondary sources and extract and transform them into a usable format
• Apply data analysis techniques to uncover patterns and trends in datasets to solve business-related problems
• Prepare and present descriptive analytics reports on patterns and trends using computer programming languages through visualisation and storytelling