| When | Event |
Feb 8 11 AM PT 2 PM ET |
Big Data Analytics for Communication Service Providers,
Presented by KXEN and Sybase.
|
Feb 9 10 AM PT 1 PM ET |
The Cutting Edge of Big Data Monetization,
SmartData Collective webinar, sponsored by Teradata.
|
Feb 10 9 AM PT noon ET |
Predicting Customer Acquisition & Retention Using Structured and Semi-structured Data,
Wharton Customer Analytics Initiative / SiriusXM Research Opportunity
|
Feb 14 8 AM PT 11 AM ET 4 PM GMT |
Introduction to Text Mining, by Linguamatics.
|
Feb 14 9 AM PT noon ET |
Explosive Data Growth (and how to deal with it!), with experts from NASA JPL and IBM.
|
Feb 14 11 AM PT 2 PM ET |
Top Trends in Business Analytics, Predictive Analytics for Marketing & Sales, presented by Fern Halper of Hurwitz & Associates and Angoss.
|
Feb 15 8 AM PT 11 AM ET |
Data Mining: Failure to Launch, by The Modeling Agency.
Attend this free webinar to learn how to get started with data mining and overcome limitations that cause data mining projects to fall short of their potential.
|
Feb 22 11 AM PT 2 PM ET |
Predictive Analytics Deployment with R, Rattle, PMML and ADAPA,
presented by Webinar Ray DiGiacomo (Lion Data Systems), Graham Williams (Creator of Rattle), Alex Guazzelli (Zementis)
|
Feb 28 8 AM PT 11 AM ET 4 PM GMT |
Introduction to Text Mining, by Linguamatics.
|
Mar 8 1 PM PT 4 PM ET |
Data Mining: Failure to Launch, by The Modeling Agency.
Attend this free webinar to learn how to get started with data mining and overcome limitations that cause data mining projects to fall short of their potential.
|
Mar 9 - Apr 6 |
Introduction to Data Mining taught by Anthony Babinec, president of AB Analytics
|
Mar 13 8 AM PT 11 AM ET 4 PM GMT |
Introduction to Text Mining, by Linguamatics.
|
Mar 30 - Apr 27 |
Forecasting taught by Galit Shmueli, co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab
|
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
|
Jun 8 - Jul 6 |
Text Mining taught by Nitin Indurkhya, co-author of Text Mining: Predictive Methods for Analyzing Unstructured Information
|
Jun 29 - Jul 27 |
Data Mining in R taught by Luis Torgo, author of best selling text, Data Mining with R
|
Jul 20 - Aug 10 |
Sentiment Analysis taught by Nitin Indurkhya, co-editor of Handbook of Natural Language Processing, 2nd edition
|
Aug 31 - Sep 28 |
Natural Language Processing taught by Nitin Indurkhya, co-editor of Handbook of Natural Language Processing, 2nd edition
|
Sep 7 - Oct 5 |
Introduction to Data Mining taught by Anthony Babinec, president of AB Analytics
|
Sep 14 - Oct 12 |
Forecasting taught by Galit Shmueli, co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab
|
Oct 12 - Nov 9 |
Data Mining: Unsupervised Techniques taught by Anthony Babinec, president of AB Analytics
|
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
|
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
|
Nov 23 - Dec 21 |
Introduction to Support Vector Machines in R taught by Lutz Hamel, author of Knowledge Discovery with Support Vector Machines
|
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
|