Dates and location
Pricing
Hours
Dates and location
Pricing
Hours
Description
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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How to Access The Course
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Important: Course access begins on the date of purchase and remains available for the Access Time specified for the course under Dates and Location. Please review the access time before purchasing. Note that it may take up to 15 minutes after registration for the course to appear in Blackboard.
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Speaker(s)
TDWI is the leading provider of education and research for business intelligence, analytics, and data management professionals. TDWI’s vendor-neutral training is led by experienced practitioners, and has earned a world-wide reputation for being comprehensive, practical, and actionable.
CBIP Mark Peco is a BI consultant, educator, manager, analyst, and team builder. He has led numerous projects helping clients to adapt to fundamental shifts in business models and requirements. Mark’s industry experience includes the energy, metals, and financial sectors.