category

Occupational Certificate: Data Science Practitioner

Type

Virtual

Orange and black virtual icon

Classroom ILT

Orange and black virtual icon

Skill Level

NQF 5

Available dates

Learning Path

Learnership
Orange and black technology icon

Virtual

Duration

18 Months
Black and orange duration icon

1 Day

TYPE

Virtual

Lecturer teaching class icon

Classroom ILT

Lecturer teaching class icon

LEARNING PATH

Learnership
Orange and black technology icon

SKILL LEVEL

NQF 5

DURATION

18 Months
Black and orange duration icon

AVAILABLE DATES

Available on request.

For more information click on button below

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.

A qualified learner will be able to:

  • 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 analytic reports on patterns and trends using computer programming languages and explain those patterns and trends through visualization and using data visualization tools

 

The programme is intended for individuals that are new entrants in the IT sector as well as existing employees who have experience in this field, but without formal recognition of skills and competencies. It is also intended for individuals who wish to extend their careers into Data Analysts, Data Miners, Data Modellers, Data Custodians or Management Information Analysts.

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

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.