Credits: 3
Explore data mining methods and procedures for diagnostic and predictive analytics. Topics include association rules, clustering algorithms, tools for classification, and ensemble methods. Computer implementation and applications will be emphasized.
Competencies
Upon completing this course, you will be able to:
- Understand and implement association rules.
- Understand and implement clustering algorithms.
- Understand classification aspects of data mining, such as linear and logistic regression, regression and classification trees, neural networks, nearest neighbor.
- Use ensemble methods such as bagging and boosting.
- Assess and deploy predictive models.
Prerequisites: DS 700: Foundations of Data Science, DS 710: Programming for Data Science
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Questions?
Call 1-877-895-3276 or send an email to learn@uwex.wisconsin.edu. Our enrollment advisers are available Monday through Friday, 8:30 a.m. to 5:00 p.m. CT.
