Overview

The purpose of this qualification is to prepare learners to work as data science practitioners. Data science practitioners are responsible for storing data and making it available to data scientists in a structured format. They support the data lifecycle by collecting, transforming, analyzing, and communicating results to solve fundamental business problems.

Transform your data into a robust, comprehensive data set that can be saved for the problems identified in your statement of work. Data science skills related to data analysis, machine learning, and data-driven decision making. 

Programme Outline

• Introduction to Data Science and Data Analysis
• Logical Thinking and Basic Calculations: Refresher
• Computers and Computing Systems
• Computing Theory
• Basic Statistics for Data Analytics
• Statistics essentials for Data Analytics
• Data Science and Data Analysis
• Data Analysis and Visualization
• Introduction to Governance, Legislation and Ethics
• Fundamentals of Design Thinking Innovation
• 4IR and Future Skills

Skills You will develop

This qualification equips you with the skills to collect, analyze, and visualize complex data, transforming raw information into actionable insights.

Possible Careers

• Data Analyst
• AI/ML Researcher
• Data Product Manager
• Data Engineers
• Healthcare Data Analyst
• Database Administrator
• Machine Learning Engineer
• Data Scientist
• Data Consultant
• Data Architect