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UC Irvine Extension Announces New Spring Predictive Analytics Courses

Feb. 19 Webinar Hosted by Author Eric Siegel; Will Address Topics in His New Book

IRVINE, Calif., Feb. 12, 2013 /PRNewswire/ -- As companies, governments, law enforcement, hospitals and universities continue to harness data to predict the future behavior of customers to increase sales or improve the quality of services offered, University of California, Irvine Extension announced today the availability of two new courses, which are part of its Predictive Analytics Certificate Program. The online classes, titled Big Data and Algorithms, Modeling Methods, Verification & Validation will be offered during spring quarter.  In addition, a free webinar titled "The Power to Predict Who Will Click, Buy, Lie or Die" will be hosted by Dr. Eric Siegel, a UC Irvine Extension advisory board member, former Columbia University professor, Predictive Analytics World founder and author of a new book of the same name, for those interested in learning about the importance of big data and the prediction of future behavior.


"The amount of data that is being generated by companies on a daily basis continues to multiply and drive millions of decisions ranging from customer services responses to lead generation," said Dr. Dave Dimas, director of engineering, sciences and information technology at UC Irvine Extension. "UC Irvine Extension's webinar featuring Siegel's vast expertise helping professionals unleash the power of world's most potent, booming unnatural resource: data."

Spring Courses:

  • Big Data (April 29June 16) - This online course will address the amount and complexity of both internal and external data. Students will learn the skills and tools that are critical for businesses to remain competitive, along with the methods and algorithms for mining massive data sets. Kenneth Reed, Ph.D., who has more than 30 years of experience delivering high value analytics from relational database technology, will serve as the course instructor.
  • Algorithms, Modeling Methods, Verification & Validation (April 1 to May 19) – This online course will instruct students how to use predictive analytics and existing data to create the most effective predictive models. Additional topics covered include predictive analytics algorithms for supervised learning, decision trees, neural networks, support vector machines and model ensembles. The course instructor is Dean Abbott, president of San Diego, Calif.-based Abbott Analytics, which provides advanced data mining, data preparation, and data visualization methods for businesses.

Additionally, a free webinar titled "The Power to Predict Who Will Click, Buy, Lie or Die" will be held on Feb. 19 from 11:30 a.m. to 12:30 p.m. PST. Professionals interested in learning about the power of prediction will benefit from Siegel's discussion of the role of predictive analytics to increase profits.

For more information or to register for the online courses or webinars, please visit the Predictive Analytics Certificate Program page or call (949) 824-5414.

About UC Irvine Extension: University of California, Irvine Extension is the continuing education arm of UC Irvine. Through thousands of courses and programs offered on campus, online and on site, UC Irvine Extension helps adult learners reach their career advancement and personal enrichment goals — and is celebrating 50 years of providing universally accessible, university-level learning to local, regional and global communities. Learn more at, or join us on Facebook at

About the University of California, Irvine: Founded in 1965, UC Irvine is a top-ranked university dedicated to research, scholarship and community service. Led by Chancellor Michael Drake since 2005, UC Irvine is among the most dynamic campuses in the University of California system, with nearly 28,000 undergraduate and graduate students, 1,100 faculty and 9,000 staff. Orange County's largest employer, UC Irvine contributes an annual economic impact of $4.2 billion. For more UC Irvine news, visit

CONTACT: Vivian Slater
714-573-0899 x 235
[email protected]

SOURCE UC Irvine Extension

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