QCTO: Data science practitioner occupational certificate
NQF 5
Data science is a multidisciplinary field that employs scientific methodologies, processes, algorithms, and systems to derive knowledge and insights from both structured and unstructured data. It is closely associated with da
Data Science Practitioners are responsible for managing data, ensuring it is organized and accessible for Data Scientists. They facilitate the data lifecycle through activities such as data collection, processing, analysis, and reporting, addressing fundamental business challenges. They create well-structured datasets that are comprehensive and relevant to the issues outlined in the project's scope, preparing them for storage and further use.
Previous Technical NQF 4 courses
Outcome 1:
Collect large amounts of structured and unstructured data from primary and secondary sources and extract and transform them into a usable format.
Outcome 2:
Apply data analysis techniques to uncover patterns and trends in datasets (resultant sets of data that can be viewed as tables or as a "spreadsheet of data") to solve business-related problems.
Outcome 3:
Prepare and present descriptive analytics reports on patterns and trends using computer programming languages and explain those patterns and trends through e.g., visualization and storytelling etc., using data visualisation tools.