Symmetric Matrices

Coursera

Johns Hopkins University

Linear Algebra: Orthogonality and Diagonalization (Coursera)

Sci: Mathematics

Dive into the final chapter of our Linear Algebra Specialization series where you'll explore the intricate world of orthogonality and diagonalization. This course is designed to equip you with advanced knowledge on orthogonal vectors, transformation, and symmetric matrices, essential for a wide range of applications from engineering to data science.

Aug 3rd 2026

4 Weeks

Linear Algebra Coursera Plus Orthogonality

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

EdX

Georgia Institute of Technology,GTx

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

Sci: Mathematics

Dive into the complex world of Linear Algebra with this comprehensive course. Learn about Orthogonality & Symmetric Matrices and the Singular Value Decomposition (SVD) – essential topics that underpin many areas of mathematics, computer science, and engineering. This course is ideal for those looking to enhance their understanding of advanced linear algebra concepts.

Self Paced

Self-Paced

Math Linear Algebra Mathematics

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