Introduction to Data Mining with SQL Server 2008 R2 Analysis Services This module will introduce the fundamentals of data mining and how to develop data mining models with SQL Server 2008 R2 Analysis Services that can be used in a custom solution. Hands-On Labs Hands On Lab: Building Your First Data Mining Model with SQL Server 2008 R2 Analysis Services This Hands On Lab will show you how to build your first data mining model with SQL Server 2008 R2 Analysis Services to identify patterns showing which products are commonly purchased together. Videos Presentation: Data Mining Fundamentals with SQL Server 2008 R2 Analysis Services This presentation introduces the concept of data minging and the business scenarios it addresses, and disccuses how SQL Server 2008 R2 Analysis Services can be used to meet these requirements. An architectural overview of SQL Server 2008 R2 Analysis Services data mining components is also covered. Presenter: Peter Myers, Mentor, Solid Quality Mentors. Demo: Developing Data Mining Models with SQL Server 2008 R2 Analysis Services This demo shows how to use two different SQL Server 2008 R2 Analysis Services data mining algorithms (Decision Trees and Naïve Bayes) to classify customers for a marketing campaign. The results from each model will be tested for accuracy to determine which should be used. Presenter: Peter Myers, Mentor, Solid Quality Mentors. Presentation: Programming SQL Server 2008 R2 Analysis Services Data Mining This presentation talks about the various API's available for programming SQL Server 2008 R2 Analysis Services Data Mining. The presentation also discusses how to embed data mining functionality in an application, and how to extend SQL Server 2008 R2 Analysis Services data mining functionality. Presenter: Peter Myers, Mentor, Solid Quality Mentors. Demo: Embedding SQL Server 2008 R2 Analysis Services Data Mining in a Custom Application This demo shows how to embed a SQL Server 2008 R2 Services data mining model in a custom application to flag possible data anomalies during data entry. Presenter: Peter Myers, Mentor, Solid Quality Mentors.