4. Could this course serve as a stepping stone toward machine learning or data science?

Absolutely—linear algebra is essential for understanding PCA, regression, and many ML algorithms.
You’ll learn about vectors, matrices, eigenvalues—all foundational for data transformations.
The geometric intuition you gain helps interpret high-dimensional data and feature spaces.
It’s the mathematical groundwork behind many AI models, enhancing your ability to grasp how algorithms work.
Strong linear algebra knowledge sets you up for deeper ML study and practical implementation.