Essential Linear Algebra for Data Science

Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Linear Algebra that you will need for a career in Data Science without a ton of unnecessary proofs and concepts that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Linear Algebra. Thi

• Solve real-world problems using the foundational concept of matrices and explain where those problems might arise.
• Recognize what a matrix represents in n-dimensional space and how transformations act in that space
• Identify key properties of any system of equations, such as independence, basis, rank, and more, and what they mean for the overall system.
• Demonstrate your understanding of projections in lower dimensions, while being able to carry out higher dimension projections for real-world problems