This training session is a perfect place to start if you are new to data mining and have little-to-no background in statistics or machine learning.

In one day, we will cover:

• Data basics: what kind of data is required for data mining and predictive analytics; In what format must the data be; what steps are necessary to prepare data appropriately.
• What kinds of questions can we answer with data mining and predictive analytics?
• How predictive models work: the inputs, the outputs, and the nature of the predictive mechanism.
• Evaluation criteria: how predictive models can be assessed and their value measured.
• Project issues: what it takes to successfully conduct a predictive analytics project from original conception to successful deployment.
• Specific background knowledge to prepare you to take one of our practical data mining courses on CART®, MARS®, TreeNet® or RandomForests®.