Data Mining Methods

This course covers the main techniques used in data mining including frequent pattern analysis, classification, clustering, outlier analysis, as well as complex data analysis and research perspectives in data mining. This course can be taken for credit toward CU Boulder’s MS in Data Science or MS in Computer Science programs, both offered on Coursera. These fully accredited degrees offer focused courses, short 8-week sessions, and tuition-based programs. Admission is based on three prerequisite courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image courtesy of Lachlan Cormie and available on Unsplash: https://unsplash.com/photos/jbJp18srifE