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Past 2012 Courses on Analytics and Data Mining |
Jan |
Feb |
Mar |
Apr |
January 2012
February 2012
| When | Event |
| Jan 20 - Feb 17 |
Decision Trees and Rule-Based Segmentation taught by Anthony Babinec, president of AB Analytics, online at statistics.com
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Feb 3,10,17 |
UC San Diego Extension Text Mining Course,
designed and taught by Dean Abbott, Abbott Analytics, San Diego, CA.
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| February 6-8 |
Advanced Analytics for Customer Intelligence Using SAS®,
New York, NY
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Feb 6-7 |
PREDICTIVE ANALYTICS & DATA MINING: Model Development,
(A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques),
presented by The Modeling Agency, Atlanta, GA.
|
Feb 8-10 |
PREDICTIVE ANALYTICS & DATA MINING: Strategic Implementation,
(Project Design and Practical Use Workshop to Discover What Really Works)
presented by The Modeling Agency, Atlanta, GA.
|
| Feb 9-10 |
Web Analytics and Web Intelligence Using SAS®, by SAS
New York, NY
|
| Feb 13 |
A bungee jump into Adaptive Analytics: training for LIONsolver,
Palo Alto, CA, USA.
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| Feb 16-17 |
Net Lift Models: Optimizing the Impact of Your Marketing Efforts, by SAS
San Francisco, CA
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March 2012
| When | Event |
Mar 4 |
R FOR PREDICTIVE MODELING: A HANDS-ON INTRODUCTION. This full-day session provides a hands-on introduction to R, the well-known open-source platform for data analysis. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer.
at
Predictive Analytics World, San Francisco, CA
|
| March 5-8 |
Exploratory Analysis for Large and Complex Problems Using SAS® Enterprise Miner™, by SAS
Live Web
|
| March 7-8 |
Credit Scorecard Development and Implementation, by SAS
Cary, NC
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Mar 7 |
MODELING METHODS: THE BEST AND THE WORST OF PREDICTIVE ANALYTICS. A full-day workshop provides the key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits. Instructor: John Elder, Ph.D., CEO and Founder, Elder Research.
at
Predictive Analytics World, San Francisco, CA
|
Mar 8 |
ADVANCED METHODS HANDS-ON: PREDICTIVE MODELING TECHNIQUES. Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software. Instructor: Dean Abbott, President, Abbott Analytics.
at
Predictive Analytics World, San Francisco, CA
|
Mar 8 |
MAKING TEXT MINING WORK: PRACTICAL METHODS AND SOLUTIONS.
This is a full day workshop providing the text mining solutions available now, the problems for which they are best suited and best practices in text mining. Instructor: Andrew Fast, Director of Research, Elder Research, Inc.
at
Predictive Analytics World, San Francisco, CA
|
Mar 9-10 |
NET LIFT MODELS: OPTIMIZING THE IMPACT OF YOUR MARKETING. The true effectiveness of a marketing campaign isn't response rate; it is the incremental impact - that is, the difference it makes. This is an entirely different thing to model. Instructor: Kim Larsen, Vice President, Analytical Insights.
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| Mar 9 - Apr 6 |
Introduction to Data Mining taught by Anthony Babinec, president of AB Analytics, online at statistics.com
|
Mar 10 |
An introduction to R for software developers and data analysts,
presented by Robert Kabacoff and ACM San Francisco Bay Area Professional Chapter.
|
| Mar 12 |
A bungee jump into Adaptive Analytics: training for LIONsolver,
Frankfurt am Main, Germany.
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Mar 15-16 |
Statistical Learning and Data Mining III, State-of-the-Art Statistical Methods for Data Analysis: Ten Hot Ideas for Learning from Data, by Trevor Hastie and Robert Tibshirani (Stanford). Palo Alto, CA.
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Mar 21-23 |
Data Mining: Principles and Best Practices, by SAS and Elder Research. New York, NY
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Mar 22-23 |
Predictive Analytics for Business, Marketing and Web, presented by Prediction Impact, covers the techniques, tips and pointers for a successful predictive analytics / data mining initiative, detailed case studies, interactive breakout sessions and a hands-on exercise.
New York, NY
|
| Mar 23 |
A bungee jump into Adaptive Analytics: training for LIONsolver,
Paris, France.
|
| Mar 28-30 |
Survival Data Mining: Predictive Hazard Modeling for Customer History Data, by SAS
New York, NY
|
| Mar 30 - Apr 27 |
Forecasting taught by Galit Shmueli,
co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab, online at statistics.com
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April 2012
| When | Event |
| April 2-4 |
Data Mining: Principles and Best Practices, by SAS and Elder Research. Chicago, IL
|
| April 4-6 |
Customer Segmentation Using SAS® Enterprise Miner™, by SAS
Philadelphia, PA
|
| April 12-13 |
Imputation Techniques in SAS®, by SAS
Live Web
|
Apr 23 |
R FOR PREDICTIVE MODELING: A HANDS-ON INTRODUCTION. Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer
at Predictive Analytics World, Toronto, Canada.
|
Apr 24 |
MODELING METHODS: THE BEST AND THE WORST OF PREDICTIVE ANALYTICS. Provides the key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits. Instructor: John Elder, Ph.D., CEO and Founder, Elder Research.
at Predictive Analytics World, Toronto, Canada.
|
Apr 23-24 |
PREDICTIVE ANALYTICS & DATA MINING: Model Development,
(A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques),
presented by The Modeling Agency, Las Vegas, NV, USA.
|
Apr 25-27 |
PREDICTIVE ANALYTICS & DATA MINING: Strategic Implementation,
(Project Design and Practical Use Workshop to Discover What Really Works)
presented by The Modeling Agency, Las Vegas, NV, USA.
|
Apr 27 |
ADVANCED METHODS HANDS-ON: PREDICTIVE MODELING TECHNIQUES. Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software. Instructor: Dean Abbott, President, Abbott Analytics.
at Predictive Analytics World, Toronto, Canada.
|
| Apr 27 - May 25 |
Interactive Data Visualization taught by Galit Shmueli,
co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab, online at statistics.com
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