Training

Prior to the 2-day conference, delegates will be able to take advantage of the latest hands-on technical training.

Pre-Conference Training

Pre-conference training prices are included in Conference Packages B, C, and D. When registering, please select your desired conference package, and then choose the training class you'd like to attend.

1-Day Training Courses: 1September 2010

Managing SAS Analytical Models Using SAS Model Manager

This course focus on comparing, managing and monitoring analytic models using SAS Model Manager.
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2-Day Training Courses: 30 August - 31 August 2010

Advanced Predictive Modeling Using SAS Enterprise Miner

This course is designed for predictive modelers and data analysts who want to optimize the performance of predictive models beyond the basics.
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Net Lift Models: Optimizing the impact of your marketing efforts

This course prepares you to build Net Lift Models that optimize the incremental impact of marketing campaigns. You will learn to identify good Net Lift predictive variables, build Net Models with logistic regression, Naive Bayes models and KNN classifiers, evaluate and deploy Net Models.
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3-Day Training Courses: 30 August - 1 September 2010

Advanced Analytics for Customer Intelligence using SAS

This advanced highly interacting course will clarify how you can adopt state-of-the-art data mining techniques for complex customer intelligence applications. You will receive a sound mix of both theoretical and technical insights as well as practical implementation details, illustrated by real-life cases.
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Building Analytic Datamarts

This course teaches the ecosystem for analytic data preparation, as well as the most commonly used data structures and their adequacy for certain analytic business questions. You receive a guideline for how to approach the creation of important derived variables and learn tips and tricks for efficient SAS programming for the creation of analytic data marts.
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Data Mining Techniques: Theory and Practice

This course is based on the newly revised and expanded book, Data Mining Techniques for Marketing, Sales and Customer Relationship Management. This course is for business analysts and their managers, statisticians, and anyone who has a professional interest in data mining.
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Forecasting Using SAS Software: A Programming Approach

This three-day course teaches analysts how to use SAS/ETS software to create forecasting models, evaluate the model for accuracy, and forecast future values using the model.
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