Data Mining & Predictive Analytics

Data Mining & Predictive Analytics

Single Course Fee: $990

Continuing Education Units (CEUs): 3
The continuing education unit (CEU) is a recognized method of quantifying participation in an organized continuing education experience under qualified instruction.

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Better analysis means better decisions

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.

This course is delivered in partnership with Arizona State University's W.P. Carey School of Business.

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, readings, and final assessment.
  • Coursework can be completed on your time throughout the course.
  • 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 to help overcome challenges in your current position or give you added expertise as you explore new opportunities.
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Thunderbird’s world-renowned faculty are hands-on professors with real world experience in working with global institutions and in international markets. Cultural nuances, regional regulations, emerging markets and global teams are part of working for an organization that operates globally. Thunderbird faculty help you learn what to expect and how to deal with the unexpected.

Professor: Alan Simon, MS