Course Details
Upcoming Sessions
There are no sessions of this course scheduled at this time. Please join our 'interest list' below to express your interest in the course, and stay informed on scheduling and updates.
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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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Individuals
This course is designed for analysts and leaders who want to understand and become conversant in predictive analytics. -
Teams
Organizations often send pairs or small teams, to support the launch of new initiatives. -
Requirements & Credit
There are no prerequisites for this course. Participants earn 1.4 CEUs and/or 14 CPEs, as well as a certificate of completion. Our classes are available for university credit. Please contact us for more information.
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.
Who Should Attend?
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Analysts
Analysts and leaders who want to understand and become conversant in predictive analytics. -
Leaders
Analysts and leaders who want to find new ways to solve complex business challenges using predictive analytics. -
Managers
Managers who want to get better leading and managing ongoing projects that leverage these types of analytical techniques.
Instructor
Instructor
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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.
Demonstrate Your Expertise with a Certificate
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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.
Earn a Badge
We offer digital badges for select courses, which enable you to verify your skills and achievements. When you complete this course, you will earn a digital badge that you can showcase on your LinkedIn profile.
Business Analytics
Additional Courses
Data Analytics
Discover, analyze and forecast relationships among large data sets (“Big Data”).
Resources
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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.