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Predictive Analytics

As an increasing volume of customer, product, and industry data is being collected by businesses, companies must apply intelligent methods to convert the large information repositories into effective sources of decision making.

This course covers the basics of predictive analytics and data mining methods for business applications, gives an overview of the basic tools and techniques, and includes case studies and exercises. Students will learn what data mining can do to enable business intelligence and how to build analytical capabilities. Explore examples of the applications of predictive analytics, including a variety of successful real-life projects that focus on the analysis, prediction, marketing, investments, and business practices that enable educated decision-making to drive revenues, reduce costs, and provide competitive advantage.

Topics include:

  • Business intelligence and data mining
  • Data mining capabilities
  • Classification of data mining systems
  • The data mining process
    • Identifying the business problem
    • Getting the right data
    • Data preprocessing
    • Evaluation, interpretation, and iteration
  • Successful applications in business, industry, and science

Practical experience:

  • Examine case studies of successful data mining applications in business, industry, and science

Software: WEKA may be used during the class.

Course typically offered: Online in Fall and Spring

Prerequisites: None.

Next Steps: Upon completion of this course, consider taking Fundamentals of Data Mining to continue learning.

More Information: For more information about this course, please contact unex-techdata@ucsd.edu.


  • COURSE NUMBER  CSE-41098
  • CREDIT  3.00 unit(s)


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