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Data Mining in R taught by Luis Torgo, author of best selling text, Data Mining with R, on January 13, 2012 to February 10, 2012 and June 29, 2012 to July 27, 2012
Decision Trees & Rule-Based Segmentation taught by Anthony Babinec, president of AB Analytics, on January 20, 2012 to February 17, 2012
Forecasting taught by Galit Shmueli, co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab, on March 30, 2012 to April 27, 2012 and September 14, 2012 to October 12, 2012
Introduction to Data Mining taught by Anthony Babinec, president of AB Analytics, on March 09, 2012 to April 06, 2012 and September 07, 2012 to October 05, 2012
Interactive Data Visualization taught by Galit Shmueli, co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab, on April 27, 2012 to May 25, 2012 and October 26, 2012 to November 23, 2012
Text Mining taught by Nitin Indurkhya, co-author of on Text Mining: Predictive Methods for Analyzing Unstructured Information, June 08, 2012 to July 06, 2012
Sentiment Analysis taught by Nitin Indurkhya, co-editor of Handbook of Natural Language Processing, 2nd edition, on July 20 to August 10, 2012
Natural Language Processing taught by Nitin Indurkhya, co-editor of Handbook of Natural Language Processing, 2nd edition, on August 31, 2012 to September 28, 2012
Data Mining: Unsupervised Techniques taught by Anthony Babinec, president of AB Analytics, on October 12, 2012 to November 09, 2012
Data Mining Mistakes and How to Avoid Them taught by John Elder, co-author of Handbook of Statistical Analysis& Data Mining Applications, on October 12, 2012 to October 26, 2012
Introduction to Support Vector Machines in R taught by Lutz Hamel, author of Knowledge Discovery with Support Vector Machines, on November 23, 2012 to December 21, 2012
Risk Simulation and Queuing taught by Cliff Ragsdale, author of Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Management Science, on November 23, 2012 to December 21, 2012