Predictive Analytics with Machine Learning & Data Mining

Across industries, routine decisions and competitive strategies increasingly rely on data-driven business intelligence.

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Evaluate data-driven business intelligence challenges and tools, such as data mining and machine learning techniques. Apply data-driven intelligence to improve decisions and estimate the expected impact on performance. Prepare to analyze unprecedented volumes of rich data to predict the consequences of alternative courses of action and guide decision-making. Discuss data-driven business intelligence challenges and tools like data mining and machine-learning techniques.

This class is available for university credit. Please contact Lynn Slattery at or 512.471.5893 for more information.

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 lunch break.

Austin, Texas

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


  • Apply effective data-driven intelligence to improve your decisions and systematically estimate the expected impact on relevant performance objectives
  • Discuss 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
  • Identify opportunities to derive value from data-driven intelligence
  • Acquire hands-on experience to follow up on ideas or opportunities that present themselves


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

Additional Information

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: 1.0
Hotel Information: Texas Executive Education classes qualify for discounted hotel room rates at the AT&T Executive Education and Conference Center on a limited basis. Discount code will be provided on the course materials page after class registration is complete.

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Maytal Saar-Tsechansky

Dr. Maytal Saar-Tsechansky is a 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

  • "Excellent. World class experience. For me, I wanted to increase my technical acumen. This course definitely exceeded my expectations."

    - Tom Scalise, Director, Digital Program Management, USAA

  • "This course is extremely useful for me and gave me insight into a field I knew very little about."

    - Dr. James Gabberty, Professor, Pace University

  • "Good course to attend to generate ideas on application of data."

    - Rachel Ybarra, Executive Director, AT&T – External & Legislative Affairs

  • "It is a good intro into using WEKA."

    - Denis Lin, Lead Mkt & Research Analysis Mgr, AT&T

  • "Lots of good examples; she took the class in the direction that the participants were interested in through Q&A and hypotheticals."

    - Amanda Dodd, Technical Manager, Sandia National Laboratories

  • "It's a useful class with many relevant topics covered. Dr. Maytal is a very effective instructor."

    - Ryan Roecker, Manager R&D, Southwest Research Institute

  • "Great team. Nice accommodations and very prepared."

    - Matthew Franklin, Manager, Planning/Logistics & Ops, Gulf States Toyota

Upcoming Sessions

Predictive Analytics with Machine Learning & Data Mining

Price: $2,950.00


05/11/22 - 05/12/22

2- Days

Rowling Hall 300 W Martin Luther King Jr Blvd Austin, TX 78701, Room Comal

Maytal Saar-Tsechansky