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Thunderbird School of Global Management

Available dates

On demand
USD 990


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About the course

Discover the practice of data mining and predictive modeling as you study the fundamental principles and techniques of data mining and examine real-world examples and data to place data-mining techniques in context to develop data-analytic thinking.

  • Learn how data mining changes the innovation equation in organizations.
  • Understand the drivers and determinants of disruptive innovation and how best to leverage data mining.
  • Develop a practical, business-focused understanding of the three different orientations to data mining: exploratory, predictive and forensic.
  • Understand how to develop new business opportunities or drive innovation in organizations by leveraging data mining.
  • Establish an operational (hands–on) understanding of data-driven decision making using data-mining tools and techniques to assist managers to take one of three (exploratory, predictive, forensic) perspectives to data.

Curriculum Highlights

  • A non-credit program offered 100% online and taught by same faculty as the W. P. Carey Master of Science in Business Analytics (MS-BA) program.
  • The case- and simulation-based curriculum is designed for real-world applicability.
  • The certificate curriculum is enhanced by weekly quizzes and readings, and a final, overall assignment is due at the end of the course.
  • Coursework can be completed on your time throughout the week, with all work being due by Sunday evenings.
  • Although the topics covered go into considerable depth, you do not need prior IT or analytics modeling knowledge or experience to apply for the program.
  • Delivered online to fit your busy schedule, the business analytics certificate can be completed in fewer than six months.
  • Specialize in data management or supply chain management to help overcome challenges in your current position or give you added expertise as you explore new opportunities.

Program Participants

  • Learn how firms compete with analytics.
  • Understand the evolution of business intelligence (BI) and how it applies to emerging business issues.
  • Deepen their quantitative and analytical skills, discover how to derive value from data, lead data-driven analyses and create a business advantage
  • Interpret and leverage the data within their organization to uncover trends, build predictive analysis models and get closer to the customer to increase profitability.

Who should attend

The Data Mining and Predictive Analytics certificate is ideal for executives, managers, business owners and leaders

Trust the experts

Alan Simon

Education M.S. University of Arizona 1982 B.S. Arizona State University 1980 Research Interests Business Intelligence and Analytics Data Warehousing and Enterprise Information Management Organizational Performance Management Development Lifecycle Methodologies and Best Practices Consulting ...


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