• Explain what decision trees are, how they are found and the benefits of using them
• Recognize the necessary format for data in order to perform predictive decision tree mining
• Develop a decision tree data mining model in RapidMiner using a training data set
• Interpret the decision tree's nodes and leaves, and apply them to a scoring data set in order to deploy the model
• Use different tree algorithms in order to increase the granularity of the tree's detail.