Through AMATH 301, I gained proficiency in advanced linear algebra concepts including vector spaces, inner product spaces, linear transformations, canonical forms, and singular value decompositions. Working extensively with Python, I learned to leverage computational techniques and write efficient algorithms to analyze complex systems and large datasets. Key projects involved modeling applications like PageRank, image compression, and principal component analysis. This course strengthened my programming skills and ability to apply matrix methods and linear algebra to extract meaningful insights from multi-dimensional data.