Highly successful businesses know that the rules have changed. No longer can they
rely solely on their product or service to grow; they must leverage their data (financial,
customer support, web interactions, etc.) to better understand their customers and
learn from the collective experiences of their organizations to remain competitive.
Predictive analytics provides clear, actionable initiatives based on existing company
data and is a natural extension of related corporate initiatives in areas such as
web analytics, business analysis, and data mining. As Eric Siegel, Ph.D., chairman
of the Predictive Analytics World often quotes, “Business is becoming a numbers
game and Predictive Analytics is the way to play it.”
In his bestselling book, Moneyball, Michael Lewis demonstrates the power of predictive
analytics as he tells the story of the Oakland A’s manager, Billy Beane (made
famous by his portrayal by Brad Pitt in Colombia Picture’s hit film). Beane,
who was constrained with the lowest team budget in Major League Baseball, used predictive
analytics techniques to orchestrate a dramatic turnaround in his team’s performance.
UCI Division of Continuing Education’s Predictive Analytics Certificate is a comprehensive
online program designed for working adults within a wide range of professional backgrounds to develop the skills they need to succeed in this exciting,
high growth field. Learn how to better understand customer needs and business processes
in ways that drive business results. Optimize your marketing campaigns and website
behavior to increase customer responses and conversions.
Who Should Enroll
This program is intended for professionals who are using or wish to use predictive
analytics to optimize business performance at a variety of levels in a wide range
of industries. The predictive analytics program is often the logical next step for
professional growth for those in business analysis, web analytics, marketing, business
intelligence, data warehousing, and data mining.
The program is open to working adults within a wide range of professional backgrounds.
Occupational summary for computer and information research scientists in the United States.
Projected Growth (2017-2027)