1. How will this course empower me in a data science career?

Teaches foundational matrix and vector operations—vital for data transformations and feature engineering.
Explains key concepts like projections and eigenvalues, which underpin dimensionality reduction techniques like PCA.
Builds understanding of how linear systems and least squares modeling drive regression and predictive models.
Equips you with tools to manipulate large datasets efficiently using matrix representations.
Acts as a math foundation enabling smoother learning of advanced data science topics like neural networks and recommendation systems.