2008 Q2 Courses on Data Mining, Analytics, and Web Mining
See also Webcasts and Webinars,
Meetings and
Education pages.
April 2008
Apr 3-4 |
Predictive Analytics for Business, Marketing, and Web
This concentrated training program covers the techniques, tips and pointers needed to run a successful data mining initiative.
Offered by Prediction Impact in conjunction with the eMetrics Marketing Optimization Summit; presented by Eric Siegel, Ph.D.
Toronto, ON, Canada |
Apr 7-11 |
DATA MINING: LEVEL I,
An Intensive Overview of Strategy, Best Practices and Case Studies for Predictive Analytics,
presented by Tony Rathburn, Las Vegas, NV |
Apr 9-10 |
DATA MINING: LEVEL II,
A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques,
presented by Dean Abbott, Las Vegas, NV |
Apr 11 |
DATA MINING: LEVEL III,
A Hands-On Application Workshop for Data Mining Practitioners,
presented by Dean Abbott, Las Vegas, NV |
Apr 7-9 |
Exploratory Data Mining with Application to Life and Social Sciences,
presented by SAS and Patricia Cerrito,
Boston, MA |
Apr 7-9 |
Data Mining Techniques: Theory and Practice,
presented by SAS and Michael J. A. Berry or Gordon S. Linoff,
New York, NY |
Apr 9-11 |
Exploratory Analysis for Large and Complex Problems,
presented by SAS and Jeff Zeanah,
Chicago, IL |
Apr 11 to May 9 |
Statistical Analysis of Microarray Data with R
by Dr. Shailaja Deshmukh and Dr. Sudha Purohit
online at statistics.com
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Apr 22-25 |
Data Mining with Decision Trees (CART®),
Advanced CART & Hybrid Modeling Techniques,
TreeNet®/MART,
Predictive Modeling with MARS® Automated Non-Linear Regression Tool,
RandomForests(tm),
presented by Salford Systems, New York, NY |
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