Statistics.com Certificate and online Courses in Analytics, Data Mining, and more

Predictive Analytics in Action is a new series established by Cambridge University Press to meet the needs of people who want to extract knowledge from data - quickly, accurately, and reliably. Peter Bruce, President, Statistics.com joins others on the editorial board for this new-book series that presents modern methods in analytics for professionals, researchers, and students who work with data in business, health care, and public policy.

Eric Siegel's new book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die just hit the bookstores.

The Certificate Program in Data Analytics at Statistics.com covers the waterfront with its online courses: predictive modeling, forecasting, reliability, clustering, Bayesian, analytics, data wrangling, R-programming, risk analytics, queueing, optimization, choice modeling, logistic regression, matrix algebra, association rules, text mining, national language processing, sentiment analysis, spatial statistics, and more. Over a dozen courses in R. Take individual courses or sign up for a certificate program.

Here are upcoming online courses from Statistics.com

Forecasting, taught by Galit Shmueli, co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab, on Mar 29 - Apr 26, 2013 and Sep 13 - Oct 11, 2013

Introduction to Predictive Modeling, taught by Anthony Babinec, president of AB Analytics, on Apr 5 - May 3, 2013 and Sep 6 - Oct 4, 2013

R Programming - Introduction, taught by Joris Meys, co-author (with Andrie de Vries) of R for Dummies, on Apr 12 - May 10, 2013.

Interactive Data Visualization, taught by Galit Shmueli, co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab, on Apr 26 - May 24, 2013 and Oct 25 - Nov 22, 2013

Data Mining in R, taught by Luis Torgo, author of best selling text, Data Mining with R, on Jun 28 - Jul 26, 2013

Text Mining, taught by Nitin Indurkhya, co-author of on Text Mining: Predictive Methods for Analyzing Unstructured Information, on Jun 7 - Jul 5, 2013

Natural Language Processing, taught by Nitin Indurkhya, co-editor of Handbook of Natural Language Processing, 2nd edition, on Jul 19 - Aug 16, 2013

Introduction to Optimization, taught by Cliff Ragsdale, author of Spreadsheet Modeling and Decision Analysis: A Practical Introduction - Management Science, on Aug 23 - Sep 20, 2013

Sentiment Analysis, taught by Nitin Indurkhya, co-editor of Handbook of Natural Language Processing, 2nd edition, on Aug 30 - Sep 20, 2013

Data Mining - Unsupervised Techniques, taught by Anthony Babinec, president of AB Analytics, on Oct 11 - Nov 8, 2013

Introduction - Support Vector Machines in R, taught by Lutz Hamel, author of Knowledge Discovery with Support Vector Machines, on Nov 15 - Dec 13, 2013

Risk Simulation and Queuing, taught by Cliff Ragsdale, author of Spreadsheet Modeling and Decision Analysis:  A Practical Introduction - Management Science, on Nov 22 - Dec 20, 2013