STATS202 -
Data Mining and Analysis
Online
Overview
Data mining is a powerful tool used to discover patterns and relationships in data. Learn how to apply data mining principles to the dissection of large complex data sets, including those in very large databases or through web mining. Explore, analyze and leverage data and turn it into valuable, actionable information for your company.
Limited enrollment! Due to the limited space in this course, interested students should enroll as soon as possible.
Instructors
- Guenther Walther Professor, Statistics
Topics Include
- Decision trees
- Association rules
- Clustering
- Case-based methods
- Data visualization
Units
3.0
Technology Requirements
To complete homework assignments you will need Internet access, excel and the R statistical software package (free download).
Prerequisites
Introductory courses in statistics or probability (STATS60 or equivalent), linear algebra (MATH51 or equivalent), and computer programming (CS105 or equivalent)