In a world increasingly driven by data, the Occupational Certificate: Data Science Practitioner offers students a gateway into one of the most in-demand and impactful careers of the 21st century. This qualification empowers learners with the ability to extract meaningful insights from complex datasets, solve real-world problems, and support data-driven decision-making across industries. From healthcare and finance to marketing and logistics, data science is transforming how organisations operate. By mastering tools like Python, machine learning, and data visualisation, students not only gain a competitive edge in the job market but also become key contributors to innovation and strategic growth.

QUALIFICATION SPECIFICATIONS
• SAQA ID: 118708
• NQF Level: 5
• Credits: 185
• Duration: 12 months
• Accreditation Body: Quality Council for Trade and Occupations

NQF Level 4 qualification

Occupation function

Data Science Practitioners take custody of data and make the data available in a structured form for the Data Scientist to use. They support the data life cycle by collecting, transforming, and analysing data, and communicating results in order to solve elementary business problems. They transform data into robust, comprehensive data sets, aligned with the problem identified in the statement of work and ready for storage.

The programme is divided into six modules covering the following:

1. Introduction to data science and data analysis
2. Computer theory
3. Statistics for data analytics
4. Data Science and data analysis
5. Data analysis and visualisation
6. Applied Data Science

The programme consists of:

• Facilitator led online knowledge modules
• Facilitator-led online practical modules
• Workplace-based learning modules (78 compulsory workplace-based days)
• External Integrated Summative Assessment (exam)

Vertical Articulation

National Certificate: Business Analysis, NQF Level 6.

Email: skills@regenesys.net