Will i get job placement support after the program ?

While we cannot guarantee job placement, our team provides dedicated career support services to all graduates. This includes resume building, interview preparation, and access to our network of industry partners who are actively seeking skilled professionals in the ${category} sector.

Is financial assistance or a learnership available?

Many of our qualifications can be delivered as learnerships, which are funded through SETA discretionary grants. Employers who sponsor learners can also claim their training spend towards their BBBEE scorecard. Contact our team to explore funding options for your specific situation.

Occupational Certificate: Data Science Practitioner | NQF Level 5

Course Overview

Learning data analysis, statistical modeling, and machine learning techniques for extracting insights from complex datasets.

Purpose & Value

Purpose

The Occupational Certificate: Data Science Practitioner equips learners with the analytical, statistical, and technical capabilities required to transform raw data into meaningful, actionable insights for business decision-making. As organisations increasingly rely on data-driven strategies, this qualification prepares learners to operate effectively in modern data environments — from data collection and cleaning to modelling, visualisation, and reporting.

Value Proposition

Master Python and essential data science libraries
Learn to build and evaluate machine learning models
Develop data storytelling and visualization skills
Work with real business datasets and case studies
Gain industry recognized certifications such as Microsoft BI/Microsoft Azure Data Fundamentals

Key Outcomes

Upon successful completion, learners will be able to:

Analyze and visualize complex datasets
Build predictive models using machine learning
Apply statistical methods to business problems
Clean and prepare data for analysis
Communicate data insights effectively

Program Details

Duration

The 12-month program balances theoretical foundations with practical application, providing sufficient time to develop programming skills and analytical thinking.

Learning Approach

Project-based learning using real-world datasets and business cases. Combines online programming tutorials, data analysis workshops, machine learning projects, and business presentation exercises. Weekly live coding sessions and peer collaboration with access to cloud-based data science platforms.

Entry Requirements

Grade 12 with Mathematics
Reliable internet for cloud-based tools and platforms
Strong analytical and logical thinking abilities
Computer with at minimum 8GB RAM, Intel core i5 12th gen/AMD Ryzen 5 7500 and 200gb SSD with windows 11

Your Learning Journey

1.Theory Modules

EISA Preparation Test

2.Practical Training

Workbook, Observation & Assessment

3.Workplace Modules

Observation & Logbook

4.External Integrated Summative Assessment

Final Exam

Curriculum Modules

Knowledge Modules (66 Credits)

Introduction to Data Science and Data Analysis, 6 Credits
Logical Thinking and Basic Calculations, 4 Credits
Computers and Computing Systems, 4 Credits
Computing Theory, 2 Credits
Basic Statistics for Data Analytics, 10 Credits
Statistics Essentials for Data Analytics, 4 Credits
Data Science and Data Analysis, 12 Credits
Data Analysis and Visualization, 16 Credits
Governance, Legislation and Ethics, 3 Credits
Design Thinking and Innovation, 4 Credits
4IR and Future Skills, 1 Credit

Practical Skills Modules (59 Credits)

Apply Logical Thinking and Maths Refresher, 3 Credits
Apply Code to Use a Software Toolkit/Platform in the Field of Study or Employment, 4 Credits
Use Spreadsheets to Analyse and Visualize Data, 3 Credits
Use a Visual Analytics Platform to Analyse and Visualise Data, 4 Credits
Apply Statistical Tools and Techniques, 4 Credits
Collect and Pre-Process Large Amounts of Unruly Data, 12 Credits
Apply Data Analysis Techniques to Uncover Patterns and Trends in Datasets, 12 Credits
Prepare and Present Descriptive Analytic Reports for Decision Making, 12 Credits
Participate in a Design Thinking for Innovation Workshop, 3 Credits
Collaborate Ethically and Effectively in the Workplace, 2 Credits

Work Experience Modules (60 Credits)

Data Collection & Pre-processing, 16 Credits
Statistical Data Analysis, 16 Credits
Data Visualization & Reporting, 16 Credits
Capstone Project Using an Appropriate Toolkit, 12 Credits

Career Opportunities

This qualification opens doors to various career opportunities across industries:

Data Analyst

Business Intelligence Analyst

Data Science Practitioner

Analytics Consultant

Insights Analyst

Frequently Asked Questions

: An occupational qualification is a formal recognition of the skills and knowledge required to perform a specific job or role in a particular industry aligned with the National Qualifications Framework (NQF) in South Africa. Unlike traditional academic degrees that are theory heavy and require a significant time investment, occupational qualifications are designed to be practical and directly relevant to the workplace with far less time investment.
: The Occupational Certificate: Data Science Practitioner is an accredited qualification registered on the National Qualifications Framework (NQF) at Level 5. It is designed to equip learners with the practical skills and theoretical knowledge needed to succeed in the ict sector.
: The program runs for 12 months. This includes both theoretical learning and workplace practical components, ensuring you graduate job-ready.
: While we cannot guarantee job placement, our team provides dedicated career support services to all graduates. This includes resume building, interview preparation, and access to our network of industry partners who are actively seeking skilled professionals in the ${category} sector.
: Yes. Our programs use a blended learning approach that combines online self-study, virtual sessions, and scheduled contact days — designed to accommodate working professionals without requiring you to take extended leave. Due note that you will be required to ask for time off on the exam days and vital contact days to complete the practical assessments, workplace learning components and write the exam.
: Many of our qualifications can be delivered as learnerships, which are funded through SETA discretionary grants. Employers who sponsor learners can also claim their training spend towards their BBBEE scorecard. Contact our team to explore funding options for your specific situation.
: Kamela International stands out by offering practical, industry-aligned qualifications that are directly relevant to the South African job market. We combine flexible learning options with strong career support services, ensuring students are job-ready upon completion. For companies, we offer tailored training solutions and learnership programs that support skills development and BBBEE compliance.

Purpose & Value

Purpose

Value Proposition

Master Python and essential data science libraries
Learn to build and evaluate machine learning models
Develop data storytelling and visualization skills
Work with real business datasets and case studies
Gain industry recognized certifications such as Microsoft BI/Microsoft Azure Data Fundamentals

Program Details

Duration

The 12-month program balances theoretical foundations with practical application, providing sufficient time to develop programming skills and analytical thinking.

Learning Approach

Entry Requirements

Grade 12 with Mathematics
Reliable internet for cloud-based tools and platforms
Strong analytical and logical thinking abilities
Computer with at minimum 8GB RAM, Intel core i5 12th gen/AMD Ryzen 5 7500 and 200gb SSD with windows 11

Curriculum Modules

Knowledge Modules (66 Credits)

Introduction to Data Science and Data Analysis, 6 Credits
Logical Thinking and Basic Calculations, 4 Credits
Computers and Computing Systems, 4 Credits
Computing Theory, 2 Credits
Basic Statistics for Data Analytics, 10 Credits
Statistics Essentials for Data Analytics, 4 Credits
Data Science and Data Analysis, 12 Credits
Data Analysis and Visualization, 16 Credits
Governance, Legislation and Ethics, 3 Credits
Design Thinking and Innovation, 4 Credits
4IR and Future Skills, 1 Credit

Practical Skills Modules (59 Credits)

Apply Logical Thinking and Maths Refresher, 3 Credits
Apply Code to Use a Software Toolkit/Platform in the Field of Study or Employment, 4 Credits
Use Spreadsheets to Analyse and Visualize Data, 3 Credits
Use a Visual Analytics Platform to Analyse and Visualise Data, 4 Credits
Apply Statistical Tools and Techniques, 4 Credits
Collect and Pre-Process Large Amounts of Unruly Data, 12 Credits
Apply Data Analysis Techniques to Uncover Patterns and Trends in Datasets, 12 Credits
Prepare and Present Descriptive Analytic Reports for Decision Making, 12 Credits
Participate in a Design Thinking for Innovation Workshop, 3 Credits
Collaborate Ethically and Effectively in the Workplace, 2 Credits

Work Experience Modules (60 Credits)

Data Collection & Pre-processing, 16 Credits
Statistical Data Analysis, 16 Credits
Data Visualization & Reporting, 16 Credits
Capstone Project Using an Appropriate Toolkit, 12 Credits

Frequently Asked Questions

An occupational qualification is a formal recognition of the skills and knowledge required to perform a specific job or role in a particular industry aligned with the National Qualifications Framework (NQF) in South Africa. Unlike traditional academic degrees that are theory heavy and require a significant time investment, occupational qualifications are designed to be practical and directly relevant to the workplace with far less time investment.

Yes. Our programs use a blended learning approach that combines online self-study, virtual sessions, and scheduled contact days — designed to accommodate working professionals without requiring you to take extended leave. Due note that you will be required to ask for time off on the exam days and vital contact days to complete the practical assessments, workplace learning components and write the exam.

Kamela International stands out by offering practical, industry-aligned qualifications that are directly relevant to the South African job market. We combine flexible learning options with strong career support services, ensuring students are job-ready upon completion. For companies, we offer tailored training solutions and learnership programs that support skills development and BBBEE compliance.