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.
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.
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.
Enjoy proximity to the vibrancy of the campus and downtown Austin, and the innovative, business-friendly environment of the city.
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
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.
"Maytal is a good instructor. She gives students her attention and address questions on the spot."
Management Analyst, Department of Defense Installation
05/11/16 - 05/12/16
AT&T Executive Education & Conference Center
1900 University Avenue
Austin, TX 78705