
Coding and Software
Analytics
A hands-on analytics programme for students who love coding, computers, and maths, where they use data, AI, electronics, and research to solve real-world challenges.
Focus Areas
Programming & API Integration
AI, Machine Learning & No-Code Tools
Electronics, Sensors & Prototyping
Research, Strategy & Scientific Communication
Learning Outcomes
Coding & Automation
Build simple dashboard applications using beginner-friendly programming tools and real-world datasets.
Strategy & Decisions
Collect, organise, analyse, and visualise data to identify patterns and communicate insights.
Backend & Databases
Use APIs and basic programming concepts to connect data sources to interactive applications.
Explore beginner-friendly AI
Explore beginner-friendly AI and machine learning tools to classify information, detect patterns, and build smart applications.
Debugging & Testing
Understand basic electronics and sensor systems by assembling and testing a working prototype.
Teamwork
Develop research, teamwork, strategy, and presentation skills through simulations, analysis tasks, and scientific writing.
Tools Used
Prerequisites
Students should have successfully completed the Foundation level or be able to create basic coding applications using block-based tools such as Scratch or MIT App Inventor
Students who have not completed the Foundation level may request an entry test to check their eligibility for the course
Course Structure
Guided hands-on sessions where students learn through challenges, instructor explanations, building time, teamwork, testing, and reflection
Continuous progress tracking through completed projects, instructor feedback, participation, teamwork, creativity, and technical understanding
Portfolio and certification outcomes with student work documented through projects, showcases, and a course completion certificate
Small-group learning with approximately 1 instructor for every 5 students
Example Projects
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Payment Info
Installment Payment Partners
Mintpay, Koko, and MyFees
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