category
Occupational Certificate: Data Science Practitioner
Type
Virtual
Classroom ILT
Skill Level
Available dates
Learning Path
Virtual
Duration
1 Day
TYPE
Virtual
Classroom ILT
LEARNING PATH
SKILL LEVEL
DURATION
AVAILABLE DATES
Introduction
The purpose of this qualification is to prepare learners to operate as Data Science Practitioners. Data Science Practitioners take custody of data and make the data available in a structured form for the Data Scientist to use. They support the data life cycle by collecting, transforming, and analysing data and communicating results to solve elementary business problems. They also transform data into robust, comprehensive data sets, aligned with the problem identified in the statement of work and ready for storage.
Pre-requisites
- We offer a thorough pre-assessment process to align learners to appropriate qualifications and levels
- The minimum entry requirement for this qualification is: NQF Level 4 with Mathematics
Audience Profile
Learners who have completed:
- NQF Level 5 IT-related qualifications
- Mathematics, Statistics, Computer Science, or Business subjects
- Short courses in Python, SQL, or analytic
Qualification Structure
- Knowledge Modules: Cover topics like Introduction to Data Science & Data Ecosystems, Data Management, Programming using Data science (66 credits)
- Practical Skill Modules: Include tasks like Collecting, Cleaning & Preparing Data Write Python scripts, Data exploration techniques, Build & Evaluate Machine Learning Models (59 credits)
- Work Experience Modules: Focus on Data Collection & Preparation
Problem Analysis & Requirements Gathering, (60 credits)
Exit Level Outcomes
Graduates will be able to:
- Collect, clean, and prepare data for analysis
- Apply programming techniques to manipulate data
- Conduct statistical analysis and interpret patterns
- Develop machine learning models and evaluate performance
- Present insights using dashboards, reports, and storytelling techniques
- Apply ethical, governance, and data privacy principles
- Solve business problems using data-driven methodologies
Assessments
Formative Assessments (Provider-Based / Classroom & Practical Training)
These assessments take place throughout the learning process and are used to evaluate progress and competency in each module.
Types of formative assessments include:
- Knowledge assessments:
- Practical tasks:
- Assignments and projects:
- Skills demonstrations:
Summative Assessments (Internal / End-of-Module Assessments)
These assessments evaluate if learners have achieved the required competencies for each component before attempting the EISA.
Summative assessments may include:
- theory exams
- Practical assessments or capstone tasks
- Portfolio of Evidence (PoE) submission,
Workplace-Based Assessments (WIL – Work Integrated Learning)
External Integrated Summative Assessment (EISA)
This is the final QCTO assessment and is conducted by an Assessment Quality Partner (AQP), typically at an accredited assessment Centre.
- Foundations in Design Thinking Certificate
Additional Optional International Certifications Compatibility:
- Microsoft Certified: Data Analyst Associate (Power BI)
- Microsoft Certified: Azure Data Fundamentals (DP-900
- CompTIA Data+
- AWS Data Analytics – Foundational
Associated certifications and exam
On successful completion of this course students will receive a Torque IT attendance certificate
Learnerships Overview
A Learnership is a structured learning programme that combines theoretical knowledge with practical workplace experience, leading to a nationally recognized qualification aligned to the National Qualifications Framework (NQF). Learnerships develop critical skills while providing learners with real-world work experience, making them highly employable upon completion.
QCTO (Quality Council for Trades and Occupations) is the quality assurance body responsible for occupational qualifications in South Africa. QCTO ensures that Learnership programmes meet rigorous standards and that qualifications are industry-relevant, competency-based, and aligned with workplace requirements.
MICT SETA (Media, Information and Communication Technologies Sector Education and Training Authority) plays a crucial role in facilitating skills development across various industries in South Africa, working collaboratively with training providers to ensure quality programme delivery and learner support.
Torque IT is an accredited training provider offering MICT SETA / QCTO-registered Learnerships. Our Learnership programmes combine world-class ICT training with practical workplace exposure, equipping learners with the technical skills and work-readiness required to thrive in today’s digital landscape.
With over three decades of excellence in ICT training, Torque IT continues to play a pivotal role in transforming lives and businesses by delivering quality skills development that meets both national priorities and industry demands.