Predictive Analytics with Machine Learning and Data Mining
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Data-Driven Business Intelligence
Evaluate data-driven business intelligence challenges and tools, such as data mining and machine learning techniques. Apply data-driven intelligence to improve decisions and competitive strategies, and to estimate 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.

WHAT YOU'LL LEARN

This course provides foundational frameworks, critical thinking skills and hands-on training with predictive analytical models.

Data-Driven Intelligence

  • Apply effective data-driven intelligence to improve your decisions and systematically estimate the expected impact on relevant performance objectives
  • Develop a data-analytical approach to problem-solving, and identify opportunities to derive value from data-driven intelligence
  • Discuss data-driven business intelligence challenges and tools like data mining and machine-learning techniques

Data-Driven Intelligence Tools & Techniques

  • Discuss the landscape of data-driven intelligence tools, the basics of data mining techniques, and their applications in practice
  • Acquire hands-on experience to follow up on ideas or opportunities that present themselves

ATTENDING THIS COURSE

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Individual Attendees

This course is designed for analysts and leaders who want to understand and become conversant in predictive analytics. It is also appropriate for professionals looking to find new ways to solve complex business challenges using predictive analytics, and managers who want to get better leading and managing ongoing projects that leverage these types of analytical techniques.

Team/Group Registrations

Organizations often send pairs or small teams, to support the launch of new initiatives. Contact us to learn more about registering a group.

Course Requirements

There are no prerequisites for this course.

Course Credit

Participants earn:

  • 1.4 CEUs
  • 14 CPEs
  • 1 Texas Executive Education Certificate Credit

Our classes are also available for university credit. Please contact us for more information.

Eye Opening Experience
I personally found several new ways of looking at old problems. I am now looking to apply the methods learned to automate decision making processes and cost reduction. These classes are highly recommended for anyone who likes to innovate and is interested in changing the future of business.
Dennis Winters, Director of CVD and Metals, Samsung
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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REIMBURSEMENT OPTIONS
Learn more about course credits and options for course reimbursement. Get tips on the best way to approach your manager and download a customizable template to facilitate making the ask.
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COURSE LOCATION
In person courses take place at the AT&T Executive Education and Conference Center and adjoining Rowling Hall on the UT campus in Austin. These world-class facilities provide a comfortable and convenient learning environment, with direct access to the 40 acres of campus and within walking distance of downtown Austin. Live online and on-demand course options are available for many courses.

Demonstrate Your Expertise with a Certificate

Gain applicable, real-world expertise through a focused series of classes.
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Earn a Badge

When you complete this course, you will earn a digital badge that you can showcase on your LinkedIn profile to verify your skills and achievements.
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Resources

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Fill out the form below, or click here to book a meeting with us.