Predictive Analytics Course
ANA Online Course taught by Devyani Sadh, Ph.D, Data Square
Predictive modeling is an analytic technique that is a critical component of a marketer’s toolkit. In this course, you will learn the methods to build, profile, evaluate and deploy predictive models to your CRM data to improve marketing efficiency and predict the likelihood of future outcomes.
This course consists of three lessons that will help you understand the core principles of Predictive Modeling usage, development, and applications: first, we will provide an overview of Predictive Modeling, common marketing goals and data requirements for developing effective Predictive Models, and important considerations in setting analysis specifications. Second, we will review the steps needed to build, profile, evaluate, and deploy a Predictive Model. And lastly, we will discuss real-life examples and applications of Predictive Modeling as well as ways in which you could use this technique to improve marketing efficiency.
This is the final course in a six-part series entitled: “CRM Implementation: Merging Data & Insights”. This course can be taken either as a stand-alone course or as part of the series.
Who is this Course For?
Junior, middle, and senior marketer levels – all those interested in CRM predictive modeling and analytics.
Course Outline
Lesson 1: Overview, Goals & Data
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- Definitions
- Why predictive modeling?
- Predictive modeling components
- Lesson exercise
Lesson 2: Process
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- Model build
- Model evaluation
- Model scoring
- Model profile / distribution profile
- Model deployment
- Lesson exercise
Lesson 3: Applications
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- Predictive analytics tiers
- Predictive analytics applications
- Lesson exercise
Estimated Length of Completion
Approximately 85 minutes. This timing reflects basic run time, but seat time varies by user and could be significantly longer.
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