ExecED | Predictive Analytics

Predictive Analytics

Objective

Across industries, routine decisions and competitive strategies increasingly rely on data-driven business intelligence. Unprecedented volumes of rich data can now be analyzed to predict the consequences of alternative courses of action, and guide decision-making. The urgency to utilize data-driven intelligence spans industries, and this program provides an introduction to data-driven business intelligence challenges and tools like data mining and machine-learning techniques. We also discuss how to effectively apply data-driven intelligence to improve decisions, and how to systematically estimate the expected impact on relevant performance objectives.

Benefits

  • Understand the landscape of data-driven intelligence tools, the basics of data mining techniques, and their applications in practice.
  • Develop a data-analytical approach to problem-solving so as to be able to identify opportunities to derive value from data-driven intelligence.
  • Acquire some hands-on experience so as to follow up on ideas or opportunities that present themselves.
  • Interact competently on the topic of data-driven business intelligence.

Registration

Early registration is encouraged. Class size is limited and may fill to capacity. We request registrations with payment at least three weeks in advance of the program start date.

Title: Predictive Analytics  Enroll Button
WHEN:
  • May 6-7, 2014
  • November 4-5, 2014
WHERE: AT&T Executive Education and Conference Center
Austin, Texas (map & directions)
DURATION: 2-day program: 8:30 a.m. - 4:30 p.m.
FACULTY: Maytal Saar-Tsechansky, Ph.D.,  Tom Shively, Ph.D.
COST: $2560 - Individual Course
$12,000 - General Management Certificate
The program fee includes materials, lunches and breaks.
Registration is not complete until payment is received.
PREREQUISITES: None

Continuing Education Units (CEUs) and CPEs

Participants earn 1.4 CEUs or 14 CPEs for this course. A certificate of completion will be presented from Texas Executive Education.

Page last updated: 2/3/2014