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Occupational Certificate: Data Science Practitioner
Overview
The purpose of this qualification is to prepare a learner to operate as a Data Science Practitioner. 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 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 e.g., visualisation, storytelling, etc., using data visualization tools.
NQF Level 5
Duration: 18 – 24 Months
Delivery: Classroom
Start Date: Please Contact Us
Entry Requirements
Assessment and Certification
Course Content
Entry Requirements
Matric/Grade 12 or
A recognised NQF Level 4 qualification.
Assessment and Certification
Certificate will be issued by the Quality Council for Trades and Occupations (QCTO) on successful completion of External integrated Summative Assessment.
Course Content
Knowledge Modules
❖ Module 1- Introduction to Data Science and Data Analysis
❖ Module 2- Logical Thinking and Basic Calculations- Refresher
❖ Module 3- Computers and Computing Systems
❖ Module 4- Computing Theory, Level 4, 2 Credits.
❖ Module 5- Basic Statistics for Data Analytics
❖ Module 6- Statistics Essentials for Data Analytics
❖ Module 7- Data Science and Data Analysis
❖ Module 8- Data Analysis and Visualisation
❖ Module 9- Introduction to Governance, Legislation and Ethics
❖ Module 10- Fundamentals of Design Thinking and Innovation
❖ Module 11- 4IR and Future Skills
Practical Skill Modules
❖ Module 1- Apply Logical Thinking and Maths Refresher
❖ Module 2- Apply Code to Use a Software Toolkit/Platform in the Field of Study or Employment
❖ Module 3- Use Spreadsheets to Analyse and Visualise Data
❖ Module 4- Use a Visual Analytics Platform to Analyse and Visualise Data
❖ Module 5- Apply Statistical Tools and Techniques
❖ Module 6- Collect and Pre-Process Large Amounts of Unruly Data
❖ Module 7- Apply Data Analysis Techniques to Uncover Patterns and Trends in Datasets
❖ Module 8- Prepare and Present Descriptive Analytic Reports for Decision Making
❖ Module 9- Participate in a Design Thinking for Innovation Workshop
❖ Module 10- Collaborate Ethically and Effectively in the Workplace
Work Experience Modules
❖ Module 1- Data Collection and Pre-processing Processes
❖ Module 2- Statistical Data Analysis Processes
❖ Module 3- Data visualisation and Reporting Processes
❖ Module 4- Capstone Project Using an Appropriate Toolkit
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