DATA SCIENCE PRACTITIONER (DSP)

OCCUPATIONAL CERTIFICATE:

SAQA ID 118708 • NQF Level 5 • 185 Credits
18 Months

Data Science Practitioner at SAITECH

OCCUPATIONAL CERTIFICATE:

DATA SCIENCE PRACTITIONER (DSP)

SAQA ID 118708 • NQF Level 5 • 185 Credits
18 Months

The Occupational Certificate: Data Science Practitioner (DSP) prepares learners to collect, transform and analyse large datasets to solve basic business problems and present insights through reports and visualisations. Learners gain practical skills in sourcing structured and unstructured data, uncovering patterns and trends, and communicating results using programming and data‑analysis tools.

With demand for data professionals growing rapidly across industries, this qualification offers an entry point into a high‑growth 4IR field for employees seeking formal recognition. Graduates can pursue roles such as Data Analyst Assistant, Junior Data Analyst, Data Miner, Data Modeller or Management Information Analyst.

EXIT LEVEL 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 (resultant sets of data that can be viewed as tables or as a “spreadsheet of data”) to solve business-related problems.
  • 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.

  • Introduction to Data Science and Data Analysis
  • Logical Thinking and Basic Calculations: Refresher
  • Computers and Computing Systems
  • Computing Theory
  • Basic Statistics for Data Analytics
  • Statistics Essentials for Data Analytics
  • Data Science and Data Analysis
  • Data Analysis and Visualisation
  • Introduction to Governance, Legislation and Ethics
  • Fundamentals of Design Thinking and Innovation
  • 4IR and Future Skills

  • Apply Logical Thinking and Maths Refresher
  • Apply Code to Use a Software Toolkit/Platform in the Field of Study or Employment
  • Use Spreadsheets to Analyse and Visualise Data
  • Use a Visual Analytics Platform to Analyse and Visualise Data
  • Apply Statistical Tools and Techniques
  • Collect and Pre-Process Large Amounts of Unruly Data
  • Apply Data Analysis Techniques to Uncover Patterns and Trends in Datasets
  • Prepare and Present Descriptive Analytic Reports for Decision Making
  • Participate in a Design Thinking for Innovation Workshop
  • Collaborate Ethically and Effectively in the Workplace

  • Data Collection and Pre-processing Processes
  • Statistical Data Analysis Processes
  • Data Visualization and Reporting Processes
  • Capstone Project Using an Appropriate Toolkit

ENTRY REQUIREMENTS:

Matric preferably with Maths/Maths Literacy or NQF Level 4 qualification.

Participants will be required to write an External Integrated Summative Assessment (EISA) Examination on completion of training.

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