The Linear Algebra for Data Science course by Shaina Race Bennett provides a light and visual introduction to linear algebra ❤️. The course focuses on the core linear operations and their data science applications:
✅ Matrix operations
✅ Least squares
✅ Covariance
✅ Linear regression
✅ Eigenvalues and Eigenvectors
✅ PCA
