Purpose of Qualification
Transform Raw Information into Powerful Insights
Knowledge Modules |
NQF Level |
Credits (66) |
Introduction to Data Science and Data Analysis |
4 |
6 |
Logical Thinking and Basic Calculations: Refresher |
4 |
4 |
Computers and Computing Systems |
4 |
4 |
Computing Theory |
4 |
2 |
Basic Statistics for Data Analytics |
4 |
10 |
Statistics Essentials for Data Analytics |
5 |
4 |
Data Science and Data Analysis |
5 |
12 |
Data Analysis and Visualisation |
5 |
16 |
Introduction to Governance, Legislation and Ethics |
4 |
3 |
Fundamentals of Design Thinking and Innovation |
4 |
4 |
4IR and Future Skills |
4 |
1 |
Practical Modules |
NQF Level |
Credits (59) |
Apply Logical Thinking and Maths Refresher |
4 |
3 |
Apply Code to Use a Software Toolkit/Platform in the Field of Study or Employment |
4 |
4 |
Use Spreadsheets to Analyse and Visualise Data |
4 |
3 |
Use a Visual Analytics Platform to Analyse and Visualise Data |
5 |
4 |
Apply Statistical Tools and Techniques |
5 |
4 |
Collect and Pre-Process Large Amounts of Unruly Data |
5 |
12 |
Apply Data Analysis Techniques to Uncover Patterns and Trends in Datasets |
5 |
12 |
Prepare and Present Descriptive Analytic Reports for Decision Making |
5 |
12 |
Participate in a Design Thinking for Innovation Workshop |
5 |
3 |
Collaborate Ethically and Effectively in the Workplace |
5 |
2 |
Work Experience Modules |
NQF Level |
Credits (60) |
Data Collection and Pre-processing Processes |
5 |
16 |
Statistical Data Analysis Processes |
5 |
16 |
Data visualisation and Reporting Processes |
5 |
16 |
Capstone Project Using an Appropriate Toolkit |
5 |
12 |