Wiley Thompson

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This Predictive Analytics course gave participants the opportunity to start building their skills, and to take their careers in the right direction.
They learned the basics of predictive data analytics and concepts of data analysis, computing and visualization, and found out how these concepts could be used to predict future scenarios. Participants gained a fundamental understanding of the art and science of Predictive Analytics as it relates to improving business performance.
This hands-on course covered the key concepts necessary to extract stored data elements, understand what they mean from a business point of view, and transform their formats and derive new relationships among them to produce a dataset suitable for analytical modeling.
At the end of the course, participants were able to use these skills to produce a fully processed data set compatible for building powerful predictive models that could be deployed to increase profitability.

Participants in the course accomplished the following:

  • Understanding of the art and science of predictive analytics to define clear actions that resulted in improved decisions and business results
  • Developed actionable plans from existing data and initiatives to increase sales, reduce marketing costs, and improve customer retention
  • Selected, prepared, constructed, integrated, structured, and formatted data to be most effective to ensure the predictive model met the business goals
  • Learned how to suppress customers least likely to respond to direct marketing campaigns
  • Defined appropriate business goals for a predictive analytics implementation in the “language” of a specific industry or business
  • Optimized product development, manufacturing, testing, and maintenance
  • Understand of the use, and assist in the selection, of industry standard analytics tools
  • Integrated powerful and traditionally untapped sources of information including social data, unstructured text and Big Data sets
  • Managed fraud by scoring and ranking data collected from interaction with customers

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The Predictive Analytics program is often the logical next step for professional growth for those in business analysis, web analytics, marketing, business intelligence, data warehousing, and data mining. 
Predictive analytics uses these various techniques to analyze current data and make predictions about the future of:

  • Data mining
  • Statistics
  • Modeling
  • Machine learning
  • Artificial intelligence

It can be applied to many fields of interest, from resource operations engineering, asset management and productivity, and finance and investment, to actuarial science and health economics. 

Learn more here

Professional and Continuing Education at Oregon State University

Meeting the educational needs of those continuing their education, both for career advancement and personal enrichment.