Mathematics for Data Science

Catalog description

This course introduces fundamentals of different mathematical theories and models required for understanding Data Science related algorithms and applications. The course includes selected topics from statistics, hypothesis tests, probability distributions, Bayes’ theorem, linear algebra, matrix decomposition, graphs and trees. The course will briefly relate mathematical theories and models to Data Science applications to provide necessary foundation and preparation for higher level courses on Data Science and Machine Learning.