Matrix Algebra 101

Learn How Matrices Shape Economic Modelling and Data Thinking
Matrices are more than abstract math — they’re essential tools in economic modelling, portfolio analysis, machine learning, and operations research. This accessible course walks you through matrix concepts step by step with hands-on, economics-based examples.

Location:
Cloud Spaces ADGM
(Course may be delivered via Teams if a physical venue is unavailable)

This event offers you:
🔢 A gentle yet rigorous introduction to matrix operations
📚 Practical illustrations from sectors like energy, agriculture, and finance
🤝 A collaborative space to learn with peers and get direct feedback

Don’t miss this opportunity to:
💡 Learn matrix concepts without the math intimidation
📈 Build foundational skills for economics, data science, or operations
🧠 Practice addition, subtraction, and multiplication using real cases

Topics covered include:

• What is a matrix? Notation and real-world interpretation
• Matrix addition and subtraction
• Scalar and matrix multiplication
• Input-output economics and regression with matrices
• Use cases in portfolio management, linear programming, and game theory

This event is for:

• Students or professionals transitioning into quantitative fields
• Economists or analysts looking to brush up on matrix math
• Anyone working in data-heavy roles needing math literacy
• Curious minds exploring the backbone of quantitative models

Register today — no prior experience in linear algebra needed!