Data Science
Occupational Certificate: Data Science Practitioner
Decode Data, Drive Tomorrow.
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NQF Level:
5
Credits:
185
Minimum Duration:
1.5 Years (3 Semesters)
Faculty:
Information, Communication & Future Technologies
Department:
AI, Robotics & Computer Science
Accreditation Authority:
Quality Council for Trades and Occupations
Shape the Future with Our Data Science Practitioner Qualification!
This qualification provides essential skills and knowledge for thriving in the data-driven economy. Learners gain expertise in data collection, statistical analysis, and data visualization, preparing them for roles like Data Analyst or Business Intelligence Analyst.
Why Choose This Qualification?
This programme equips learners to handle the entire data lifecycle, from collection to actionable insights. Graduates gain proficiency in data manipulation, programming, ethical handling, and storytelling through visualization.
Admission Requirements.
Applicants must have:
- An NQF Level 4 qualification or equivalent.
- Relevant work experience may qualify through Recognition of Prior Learning (RPL).
- An NQF Level 4 qualification or equivalent.
- Relevant work experience may qualify through Recognition of Prior Learning (RPL).
Qualification Structure.
The programme consists of knowledge, practical, and work experience modules delivered over three semesters:
- Semester 1: Data Science Basics, Logical Thinking, Basic Statistics.
- Semester 2: Advanced Analytics, Data Visualization, Governance.
- Semester 3: 4IR Skills, Design Thinking, Capstone Project.
- Semester 1: Data Science Basics, Logical Thinking, Basic Statistics.
- Semester 2: Advanced Analytics, Data Visualization, Governance.
- Semester 3: 4IR Skills, Design Thinking, Capstone Project.
Learning Outcomes.
Graduates will:
- Collect and analyze data to identify trends and patterns.
- Utilize programming languages and visualization tools.
- Develop and deploy data models for effective decision-making.
- Maintain data integrity and compliance with standards.
- Collect and analyze data to identify trends and patterns.
- Utilize programming languages and visualization tools.
- Develop and deploy data models for effective decision-making.
- Maintain data integrity and compliance with standards.
International Comparability.
This qualification aligns with global standards like Toronto School of Management's Diploma in Data Analytics, providing a broad curriculum focusing on data analysis, ethics, and visualization.
Qualification Modes of Delivery and Support.
The programme offers flexible delivery options:
- Contact Learning: In-person classes.
- Blended Learning: Online and face-to-face sessions.
- Distance Learning: Self-paced study.
- Contact Learning: In-person classes.
- Blended Learning: Online and face-to-face sessions.
- Distance Learning: Self-paced study.
Career Opportunities.
Graduates can pursue roles such as:
- Data Analyst
- Business Intelligence Analyst
- Data Visualization Specialist
- Junior Data Scientist
- Data Operations Specialist
- Data Analyst
- Business Intelligence Analyst
- Data Visualization Specialist
- Junior Data Scientist
- Data Operations Specialist
Articulation Options.
Articulation pathways include:
- Horizontal: National Certificate: Business Analysis Support Practice, NQF Level 5.
- Vertical: National Certificate: Business Analysis, NQF Level 6.
- Diagonal: Diploma in Information Technology, NQF Level 6.
- Horizontal: National Certificate: Business Analysis Support Practice, NQF Level 5.
- Vertical: National Certificate: Business Analysis, NQF Level 6.
- Diagonal: Diploma in Information Technology, NQF Level 6.
Ensure Compliance, Empower Financial Accuracy.
With the Occupational Certificate in Tax Technology, you’re not just earning a qualification—you’re stepping into a crucial role in maintaining tax compliance and supporting financial accuracy. Gain the expertise to manage tax calculations, ensure VAT and payroll compliance, and navigate complex tax regulations with confidence.
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