Predictive Analytics

Business Analytics

Study data-driven business intelligence challenges and tools such as data mining and machine learning techniques and apply data-driven intelligence to improve decisions and estimate the expected impact on performance.

Overview Benefits Topics Additional Information Faculty Sessions


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 class provides an introduction to data-driven business intelligence challenges and tools like data mining and machine-learning techniques.

Business Analytics

Explore the ins and outs of data analytics to gain perspective and experience with the complexities of “Big Data” in the business and organizational context.

Two-Day Concentrated Program

Registration begins at 8:00 a.m. and class runs 8:30 – 4:30 both days with a one-hour networking lunch included.

Austin, Texas

Enjoy proximity to the vibrancy of the campus and downtown Austin, and the innovative, business-friendly environment of the city.


  • Effectively apply data-driven intelligence to improve your decisions and systematically estimate the expected impact on relevant performance objectives.
  • 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


  • Machine learning
  • Applications to business
  • Data mining
  • Regression

Additional Information

Prerequisites: None
CEUs: Participants earn 1.4 CEUs and/or 14 CPEs for this course. A certificate of completion will be presented from Texas Executive Education.
Course Credits: 1.00


Maytal Saar-Tsechansky

Dr. Maytal Saar-Tsechansky is an Associate Professor of Information, Risk and Operations Management at the McCombs School of Business, The University of Texas at Austin.

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"Maytal is a good instructor. She gives students her attention and address questions on the spot."

-Vallerie Porter

Management Analyst, Department of Defense Installation

Course Details

Price: $2,950.00

Predictive Analytics


05/11/16 - 05/12/16


AT&T Executive Education & Conference Center 1900 University Avenue Austin, TX 78705

Maytal Saar-Tsechansky