Linear Algebra, Machine Learning, Data Science, Mathematics, Math For Data Science.
It empowers them to create and implement DS and ML solutions, such as data pipelines, products, applications, or services. It prepares them to learn and use advanced topics and tools in DS and ML, such as calculus, statistics, probability, optimization, or programming languages and frameworks.