Linear Algebra: Matrix Algebra, Determinants, and Eigenvectors Course
by Coursera
Master matrix algebra, determinants, and eigenvectors with Johns Hopkins University. Essential for data science, engineering, and advanced mathematics.
Why this course
- Comprehensive coverage of core matrix theory and applications
- Clear progression from algebra to eigen-decomposition
- High-quality lectures from a reputable institution
- Rigorous problem sets that reinforce theoretical understanding
