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Past 2012 Courses on Analytics and Data Mining

                

Jan | Feb | Mar | Apr |

January 2012

WhenEvent
Jan 23 - Mar 12 Advanced Analytics for the Modern Business Analyst,
Presented by Catherine Truxillo, SAS, online (Live Web)

February 2012

WhenEvent
Jan 20 - Feb 17 Decision Trees and Rule-Based Segmentation taught by Anthony Babinec, president of AB Analytics, online at statistics.com
Feb
3,10,17
UC San Diego Extension Text Mining Course,
designed and taught by Dean Abbott, Abbott Analytics, San Diego, CA.
February 6-8 Advanced Analytics for Customer Intelligence Using SAS®,
New York, NY
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.
Feb 16-17 Net Lift Models: Optimizing the Impact of Your Marketing Efforts, by SAS
San Francisco, CA

March 2012

WhenEvent
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
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.
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.
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.
Mar
21-23
Data Mining: Principles and Best Practices, by SAS and Elder Research. New York, NY
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

April 2012

WhenEvent
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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