Qualification Title: Occupational Certificate: Data Science Practitioner
Course Designer: World Wide Industrial & Systems Engineers
Course Level : 05
Course Credits: 185
Course Duration: 1 Year
Course Overview
The Data Science Practitioner course is designed to equip learners with the knowledge, skills, and competencies needed to collect, analyse, and interpret complex data to support business decision-making. The course combines theoretical understanding of data science concepts with practical application using tools, programming languages, and statistical techniques.
Learners will gain hands-on experience in data processing, visualisation, predictive modelling, and data-driven problem-solving.
The course combines theoretical instruction with practical field-based assessments and real-world case studies.
| Who Should Attend? |
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| Pre-Requisites |
While the course may be open to a broad range of people, these programmes generally expect candidates to have:
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| Course Objectives |
By the end of this course, learners will be able to:
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| Benefits |
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Course Content
This qualification is made up of the following compulsory Knowledge and Practical Skill Modules:
| Course Modules | Module | Module Description | Level | Credits |
|---|---|---|---|---|
| Knowledge Modules | 251102-001-00-KM-01 | Introduction to Data Science and Data Analysis | Level 4 | 6 Credits |
| 251102-001-00-KM-02 | Logical Thinking and Basic Calculations: Refresher | Level 4 | 4 Credits | |
| 251102-001-00-KM-03 | Computers and Computing Systems | Level 4 | 4 Credits | |
| 251102-001-00-KM-04 | Computing Theory | Level 4 | 2 Credits | |
| 251102-001-00-KM-05 | Basic Statistics for Data Analytics | Level 4 | 10 Credits | |
| 251102-001-00-KM-06 | Statistics Essentials for Data Analytics | Level 5 | 4 Credits | |
| 251102-001-00-KM-07 | Data Science and Data Analysis | Level 5 | 12 Credits | |
| 251102-001-00-KM-08 | Data Analysis and Visualisation | Level 5 | 16 Credits | |
| 251102-001-00-KM-09 | Introduction to Governance, Legislation and Ethics | Level 4 | 3 Credits | |
| 251102-001-00-KM-10 | Fundamentals of Design Thinking and Innovation | Level 4 | 4 Credits | |
| 251102-001-00-KM-11 | 4IR and Future Skills | Level 4 | 1 Credit | |
| Total number of credits for Knowledge Modules: 66 | ||||
| Practical Skill Modules | 251102-001-00-PM-01 | Apply Logical Thinking and Maths Refresher | Level 4 | 3 Credits |
| 251102-001-00-PM-02 | Apply Code to Use a Software Toolkit/Platform in the Field of Study or Employment | Level 4 | 4 Credits | |
| 251102-001-00-PM-03 | Use Spreadsheets to Analyse and Visualise Data | Level 4 | 3 Credits | |
| 251102-001-00-PM-04 | Use a Visual Analytics Platform to Analyse and Visualise Data | Level 5 | 4 Credits | |
| 251102-001-00-PM-05 | Apply Statistical Tools and Techniques | Level 5 | 4 Credits | |
| 251102-001-00-PM-06 | Collect and Pre-Process Large Amounts of Unruly Data | Level 5 | 12 Credits | |
| 251102-001-00-PM-07 | Apply Data Analysis Techniques to Uncover Patterns and Trends in Datasets | Level 5 | 12 Credits | |
| 251102-001-00-PM-08 | Prepare and Present Descriptive Analytic Reports for Decision Making | Level 5 | 12 Credits | |
| 251102-001-00-PM-09 | Participate in a Design Thinking for Innovation Workshop | Level 5 | 3 Credits | |
| 251102-001-00-PM-10 | Collaborate Ethically and Effectively in the Workplace | Level 5 | 2 Credits | |
| Total number of credits for Practical Skill Modules: 59 | ||||
| Work Experience Modules | 251102-001-00-WM-01 | Data Collection and Pre-processing Processes | Level 5 | 16 Credits |
| 251102-001-00-WM-02 | Statistical Data Analysis Processes | Level 5 | 16 Credits | |
| 251102-001-00-WM-03 | Data visualisation and Reporting Processes | Level 5 | 16 Credits | |
| 251102-001-00-WM-04 | Capstone Project Using an Appropriate Toolkit | Level 5 | 12 Credits | |
| Total number of credits for Work Experience Modules: 60 | ||||
Certification and Assessments
Participants who successfully complete the programme will receive a:
- Data science Practitioner Certificate of Competency
- Statement of Results
Who are we?
World Wide Industrial & Systems Engineers (WWISE) is an ISO consultancy, training, business solutions and systems implementation firm based in Southern Africa that provides clients with effective business processes and Safety, Health, Environmental and Quality (SHERQ) management solutions in preparation for ISO compliance. The solutions we provide and implement allow our clients to compete favourably in modern competitive business environments, both locally and internationally. We also strive to be the leading training providers in SHERQ, ISO, engineering, finance, business and project management.
What do we do?
Our services are aimed at the improvement of quality, efficiency, knowledge, and competitiveness of client companies. The service range includes:
- ISO and SHERQ systems implementation services whereby we assist client companies in meeting the requirements of ISO 9001, 14001, 22000, 31000, 27001, 20000-1, 50001 and ISO 45001 standards.
- Integrated management systems development whereby we integrate several business systems and quality management solutions into a single management system to comply with various quality and safety standards.
- Training of all employees (shop floor to executive management) in the fields of SHERQ, engineering, finance, business and project management to meet the job responsibilities and expertise requirements of international standards.
- ISO legal auditing which includes gap analysis audits and product, process, procedural, and systems auditing by our registered SAATCA auditors.
- Customised web-based solutions integrating current systems to be in line with ISO requirements.
We are a Level 1 BBBEE contributor that specialises in systems development, consultancy, training, and auditing.
Student Enrollment Form
