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SAS Courses: Mine with the experts this fall |
Through real-world knowledge and practical application our instructors teach you how to apply data mining techniques to generate true business intelligence.
Attend a
SAS Business Knowledge Series
course and experience first-hand this unique training initiative between SAS and a global network of experts. Through real-world knowledge and practical application our instructors teach you how to apply data mining techniques to generate true business intelligence.
Seats are limited; register today!
2011 Fall Schedule
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Course
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Date
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Location
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Advanced Analytics for the Modern Business Analyst
Catherine
Truxillo, PhD, statistical services specialist in the Education Division at SAS
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Weekly Sessions:
Oct 24-Dec 12
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Live Web
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Advanced Analytics for Customer
Intelligence Using SAS®
Bart Baesens, PhD, or Christophe Mues, PhD, assistant
professors at the School of Management, University of Southampton (UK)
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Oct 26-28
Oct 31-Nov 2
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Analytics 2011
New York
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Applying Survival Analysis to Business Time-to-Event Problems
Michael Berry or Gordon Linoff, co-founders and principal
consultants of Data Miners, Inc.
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Dec 13-14
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New York
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Customer Segmentation Using SAS®
Enterprise Miner™
Goutam Chakraborty, PhD, professor of marketing at Oklahoma
State University
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Oct 26-28
Nov 16-18
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Analytics 2011
San Francisco
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Data Mining Techniques: Theory and
Practice
Michael Berry or Gordon Linoff, co-founders and principal
consultants of Data Miners, Inc.
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Oct 26-28
Nov 16-18
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Analytics 2011
Rockville
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Exploratory Analysis for Large and Complex Problems Using SAS® Enterprise Miner™
Jeff Zeanah, president of Z Solutions, Inc.
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Sep 27-28
Dec 5-6
Dec 12-15
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Seattle
Austin
Live Web
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Imputation Techniques in SAS®
Patricia Berglund, senior associate in the Survey Methodology
Program at the Institute for Social Research at the University of Michigan
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Dec 1-2
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Live Web
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Net Lift Models: Optimizing the
Impact of Your Marketing Efforts
Kim Larsen, VP of Analytical Insights at Market Share Partners
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Oct 26-27
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Analytics 2011
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Survival Data Mining: Predictive
Hazard Modeling for Customer History Data
Bob Lucas, PhD, director of statistical training and technical
services at SAS
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Sep 21-23
Nov 8-10
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Chicago
Rockville
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Web Analytics and Web Intelligence
Using SAS®
Bart Baesens, PhD, or Christophe Mues, PhD, assistant
professors at the School of Management, University of Southampton (UK)
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Nov 3-4
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New York
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