Learners transform raw structured/unstructured data into usable formats, uncover patterns for insights, and present findings via visualizations and reports.
Learners transform raw structured/unstructured data into usable formats, uncover patterns for insights, and present findings via visualizations and reports. Delivered via self-paced, high-performance integration via the Melsoft AI-enhanced LMS, this programme requires a commitment of 15–30 hours per week of study. This is a nationally recognised qualification registered with the Quality Council for Trades and Occupations (QCTO/SAQA) under SAQA ID 118708. The curriculum is structured to prepare you directly for the industry.
54 hours, 24 mins of self-paced learning.
Required effort: 15–30 hours per week.
Max Seats: 20 seats per cohort.
Format: 100% Online online lectures & practical labs.
SAQA ID: 118708 (NQF Level 5).
Occupational Certificate: Data Science Practitioner
Total: 185 credits
Handle structured and unstructured data from diverse global sources.
Apply advanced statistical techniques to find hidden trends.
Master the art of data storytelling to drive leadership decisions.
Navigate governance and legislation with a foundation of integrity.
Use Design Thinking to ensure data serves human needs.