The goal of this course is to explain the mathematics on which data science depends: Linear algebra, vector calculus, and optimization. These concepts are considered as the mathematical pillars of data analysis. At the end of this course, the student will:

• understand the basic mathematical tools and methods which will provide important background for understanding the mathematics involved in data science.
• capture the state of the art of the interaction between linear algebra and data.
• understand the various numerical methods that underlie machine learning methods that have become so popular today in real-world applications.