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.
- Jonathan Taylor Professor, Statistics
- Linh Tran Instructor, Statistics
- Decision trees
- Association rules
- Case-based methods
- Data visualization
Note on Course Availability
The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.
To complete homework assignments you will need Internet access, excel and the R statistical software package (free download).
Introductory courses in statistics or probability (STATS60 or equivalent), linear algebra (MATH51 or equivalent), and computer programming (CS105 or equivalent)