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Webcasts & Webinars on Data Mining, Analytics,
Statistics, and Knowledge Discovery

                

WhenEvent
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

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