Broaden the function of your analytics from gaining insight to providing foresight. Many industries are using predictive analytics to inform business decisions in areas of marketing, customer relationship management and fraud detection. This course is an introduction to predictive analytics skills and statistical modelling techniques. Learn ways to obtain new knowledge from large amounts of data by combining data mining, statistics, and modelling. Gain an understanding of how predictive models use patterns in historical data to identify and quantify probabilities of future opportunities and risks.

LEARNING OBJECTIVES

• Define the concepts, and terminology of predictive analytics
• Use common applications of predictive analytics
• Understand how and where predictive analytics fit into a BI program
• Explain the relationship between predictive analytics and business metrics, performance management, and data mining
• Distinguish among various predictive model types
• Understand the purpose and statistical foundations of each
• Classify modelling techniques
• Outline organizational considerations for predictive analytics including the need for business, technical, and management skills

WHO WILL BENEFIT

BI program managers, architects, and project managers; and anyone interested in the basics of predictive analytics.

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