CSCE 320: Principles of Data Science

Course Description

Credits 3.
3 Lecture Hours.Theoretical foundations, algorithms and methods of deriving valuable insights from data; includes foundations in managing and analyzing data at scale, e.g. big data; data mining techniques and algorithms; exploratory data analysis; statistical methods and models; data visualization.Prerequisites:STAT 211orECEN 303;STAT 212orCSCE 222/ECEN 222;MATH 304.Cross Listing:STAT 335/CSCE 320.