|
Courses/Training on Data Mining, Analytics,
and Data Science |
|---|
Mar | Apr | May |
Jun | Jul | Aug |
Sep | Oct | Nov
February 2012
| When | Event |
|---|
| 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.
|
| February 9-10 |
Web Analytics and Web Intelligence Using SAS®, by SAS
New York, NY
|
| February 16-17 |
Net Lift Models: Optimizing the Impact of Your Marketing Efforts, by SAS
San Francisco, CA
|
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
|
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 |
BUSINESS FRIENDLY DATA MINING WITH DECISION MANAGEMENT. How to talk so your business team will listen, how to listen so your business team will talk. Instructor: James Taylor, CEO, Decision Management Solutions.
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
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
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 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
| When | Event |
|---|
| April 2-4 |
Data Mining: Principles and Best Practices, by SAS
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
|
May 2012
| When | Event |
|---|
| May 7 |
Advanced Analytics for the Modern Business Analyst,
Presented by Catherine Truxillo, SAS, online (Live Web)
|
| May 8-10 |
Customer Segmentation Using SAS® Enterprise Miner™, by SAS
Irvine, CA
|
| May 14 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
| May 15-18 |
Exploratory Analysis for Large and Complex Problems Using SAS® Enterprise Miner™, by SAS
Live Web
|
May
14-15 |
PREDICTIVE ANALYTICS & DATA MINING: Model Development,
(A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques),
presented by The Modeling Agency, Washington, DC, USA.
|
May
16-18 |
PREDICTIVE ANALYTICS & DATA MINING: Strategic Implementation,
(Project Design and Practical Use Workshop to Discover What Really Works)
presented by The Modeling Agency, Washington, DC, USA.
|
| May 21 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
May
21-23 |
Salford Systems Pre-Conference Training,
San Diego, CA.
|
| May 21-22 |
Net Lift Models: Optimizing the Impact of Your Marketing Efforts, by SAS
Chicago, IL
|
| May 29 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
June 2012
| When | Event |
|---|
| Jun 4 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
| June 4-5 |
Exploratory Analysis for Large and Complex Problems Using SAS® Enterprise Miner™, by SAS
San Francisco, CA
|
| Jun 8 - Jul 6 |
Text Mining taught by Nitin Indurkhya,
co-author of Text Mining: Predictive Methods for Analyzing Unstructured Information, online at statistics.com
|
| Jun 11 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
| Jun 18 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
| June 18-19 |
Credit Scorecard Development and Implementation, by SAS
New York, NY
| Jun
24 |
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, Chicago, IL.
|
| Jun 25 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
Jun
27 |
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, Chicago, IL.
|
Jun
28 |
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, Chicago, IL.
|
| Jun 29 - Jul 27 |
Data Mining in R taught by Luis Torgo,
author of best selling text, Data Mining with R, online at statistics.com
|
July 2012
| When | Event |
|---|
| Jul 20 - Aug 10 |
Sentiment Analysis taught by Nitin Indurkhya,
co-editor of Handbook of Natural Language Processing, 2nd edition, online at statistics.com
|
| Jul 26-27 |
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.
São Paulo, Brazil.
|
August 2012
September 2012
| When | Event |
|---|
| Sep 7 - Oct 5 |
Introduction to Data Mining taught by Anthony Babinec,
president of AB Analytics, online at statistics.com
|
| Sep 14 - Oct 12 |
Forecasting taught by Galit Shmueli,
co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab, online at statistics.com
|
October 2012
| When | Event |
|---|
| Oct 12 - Nov 9 |
Data Mining: Unsupervised Techniques taught by Anthony Babinec,
president of AB Analytics, online at statistics.com
|
| Oct 11-12 |
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.
San Francisco, CA, USA.
|
| Oct 12 - Oct 26 |
Data Mining Mistakes and How to Avoid Them taught by John Elder,
co-author of Handbook of Statistical Analysis and Data Mining Applications, online at statistics.com
|
| Oct 26 - Nov 23 |
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
|
November 2012
| When | Event |
|---|
| Nov 23 - Dec 21 |
Introduction to Support Vector Machines in R taught by Lutz Hamel,
author of Knowledge Discovery with Support Vector Machines, online at statistics.com
|
| Nov 23 - Dec 21 |
Risk Simulation and Queuing taught by Cliff Ragsdale,
author of Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Management Science, online at statistics.com
|
December 2012
|
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