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Predictive Analytics

with Machine Learning and Data Mining

  • 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.

Benefits

  • 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, and identify opportunities to derive value from data-driven intelligence
  • Acquire hands-on experience to follow up on ideas or opportunities that present themselves
  • Discuss data-driven business intelligence challenges and tools like data mining and machine-learning techniques

Enrollment Options

  • Individual Enrollment

    Enroll in this course as an individual for $2,950.
  • Group and Custom Enrollment

    Enroll as a team, or customize this program for your organization.

Upcoming Sessions

Class Details

Business Analytics

Date

11/10/22 - 11/11/22

2 Days

Instructors

Maytal Saar-Tsechansky

Location

UT Campus

Predictive Analytics w/ Machine Learning and Data Mining

Business Analytics

Date

11/10/22 - 11/11/22

2 Days

Instructors

Maytal Saar-Tsechansky

Location

UT Campus

Class

Concentration

Date

Location

Instructors

Predictive Analytics w/ Machine Learning and Data Mining

Business Analytics

11/10/22 - 11/11/22

2 Days

UT Campus

Maytal Saar-Tsechansky

Eye Opening Experience
I personally found several new ways of looking at old problems and started working on them before the training ended. 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.
Buildings on the University of Texas campus.

Who Should Attend?

This course provides foundational frameworks, critical thinking skills and hands-on training with predictive analytical models. It is intended for both analysts and leaders who:

 

  • Want to understand and become conversant in predictive analytics
  • Want to find new ways to solve complex business challenges using predictive analytics
  • Want to get better leading and managing ongoing projects that leverage these types of analytical techniques

 

This course is appropriate for a variety of professionals across verticals. Whether you work for a global corporation or a small business, we can help.

 

There are no prerequisites for this course.

Why Take This Class?

Maytal Saar Tsechansky Headshot
Instructor
  • 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.

Demonstrate Your Expertise with a Certificate

  • 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.
  • 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.

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Resources

  • Image of a brain and lights.

    How AI and Machine Learning Transform Business Decision-Making

    Learn how these technologies are being integrated into and often entirely transforming everyday business processes.
  • The Science Behind Acquiring Developing, and Retaining Top Talent

    Learn how organizations are using big data combined with a people-analytical approach to compete and succeed in the marketplace.

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