3. What key topics and hands-on skills will I learn?

The course covers:

• Vectors and matrices, including operations like dot product, inverses, determinants.
• Linear transformations, singularity, rank, and independence.
• Eigenvalues and eigenvectors, with practical implications and PCA for dimensionality reduction.

You’ll apply these concepts with Python-based assignments, building intuition through visualization rather than dense mathematics.