MSDS 5013 - Principles of Data Science

Principles of data science including theories, concepts, analytics process models, data analytics life cycle and development of data science teams. Foundations of descriptive statistics and probability, Big data (characteristics and applications), analytical methods of data mining algorithm, matrix algebra, graph theory and relational databases. Different perspectives from which data is used, the different terminology used when referring to them and a number of representation and manipulation methods.