Data Mining and Analysis
Statistics H&S - Humanities & Sciences
Data mining is used to discover patterns and relationships in data. Emphasis is on large complex data sets such as those in very large databases or through web mining. Topics: decision trees, association rules, clustering, case based methods, and data visualization. Prereqs: Introductory courses in statistics or probability (e.g., Stats 60), linear algebra (e.g., Math 51), and computer programming (e.g., CS 105). May not be taken for credit by students with credit in STATS 216 or 216V.
ROP - Letter or Credit/No Credit
Course Repeatable for Degree Credit?
Does this course satisfy the University Language Requirement?