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 |
| Apr 22-25 |
Data Mining with Decision Trees (CARTŪ),
Advanced CART & Hybrid Modeling Techniques, TreeNetŪ/MART, Predictive Modeling with MARSŪ Automated Non-Linear Regression Tool, RandomForests(tm), presented by Salford Systems, New York, NY |
May 2008
| Apr 25 to May 23 |
Logistic Regression, with J. Hilbe, presented
online at statistics.com |
| May 8-9 |
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. San Francisco, CA |
| May 14-16 | Applied Analytics Using SAS Enterprise Miner 5, presented by SAS, New York, NY |
June 2008
| Jun 2-3 |
DATA MINING: LEVEL I,
An Intensive Overview of Strategy, Best Practices and Case Studies for Predictive Analytics, presented by Tony Rathburn, Washington, DC |
| Jun 4-5 |
DATA MINING: LEVEL II,
A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques, presented by Dean Abbott, Washington, DC |
| Jun 6 |
DATA MINING: LEVEL III,
A Hands-On Application Workshop for Data Mining Practitioners, presented by Dean Abbott, Washington, DC |
| Jun 5-6 |
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; presented by Eric Siegel, Ph.D. New York City, NY |
| Jun 10-13 | Statistical Modeling In S-PLUSŪ, Insightful, Boston, MA |
| Jun 11-13 | Exploratory Analysis for Large and Complex Problems, presented by SAS and Jeff Zeanah, San Francisco, CA |
| Jun 16-18 | Exploratory Data Mining with Application to Life and Social Sciences, presented by Patricia Cerrito, Chicago, IL |
| Jun 25-27 | Applied Analytics Using SAS Enterprise Miner 5, presented by SAS, Atlanta, GA |
Q1 2008 (Jan, Feb, Mar)
Data Mining Courses |
Q2 2008
Data Mining Courses |
Q3 2008 (Jul, Aug, Sep)
Data Mining Courses  |