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

The Certificate Program in Data Analytics at Statistics.com, and upcoming online courses for analytics and data professionals, incluing predictive modeling, R, forecasting, NLP, Visualization, 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