Principles of Data Science

Catalog description

This course examines the principles of data science, and data mining in particular. It focuses on finding information in large data repositories and covers concepts, algorithms, and applications in data warehousing and online analytical processing; mining frequent patterns and association rules; classification and predication; and cluster analysis implementations. It applies these techniques to the various types of data collected today, including sequential and structured data in business and society, data streams from sensors, text data, Web data, social media data, image data, biomedical data, and other forms of complex data. Students must achieve a minimum grade of B-.