Take Your Matrix Skills to the Next LevelThis course builds on basic matrix algebra by introducing special matrices (identity, diagonal, symmetric), calculating determinants, and understanding matrix inverses. Learn how these concepts power regression, optimization, and economic models.
Location:Cloud Spaces ADGM(Course may be delivered via Teams if a physical venue is unavailable)
This event offers you:📐 Intuitive walkthroughs of matrix properties and behaviors📊 Real-world use cases including input-output models and principal component analysis🧠 Guided practice in computing determinants and checking invertibility
Don’t miss this opportunity to:📘 Understand how structure in matrices informs data modelling🧮 Learn when and how to compute matrix inverses📈 Apply these tools to systems of equations and data transformations
Topics covered include:
- Identity, zero, diagonal, symmetric, skew-symmetric, and orthogonal matrices
- Determinants: meaning, properties, and calculation methods
- Minors and cofactors
- Matrix inverse: when it exists and how to compute it
- Applications in PCA, regression, and economics
This event is for:
- Analysts, economists, and data professionals expanding their math skills
- Students in economics, engineering, or statistics
- Anyone working with systems of equations or multivariate models
Register now and take a confident step into applied linear algebra.
