Predictive Customer Analytics
Forecast customer behavior
Build comprehensive predictive models for customer behavior, churn, and value.
Robert Thornton
Distinguished Professor of Data Analytics & Intelligence
PhD (Stanford Statistics), MS (MIT CSAIL), Ex-Amazon/Netflix Head of Data Science
or 7,900 credits
Plan: professional
What You'll Learn
Build prediction models
Optimize customer actions
Course Curriculum
5 chapters · 270+ minML for customer prediction
Core Concept Fundamentals
Building essential knowledge of fundamental principles and methodologies in this domain.
- Understand core principles and theories
- Apply foundational frameworks correctly
- Build knowledge progressively
- Connect concepts to practical applications
Practical Application Essentials
Translating theoretical knowledge into actionable strategies.
- Connect theory to practice
- Identify application opportunities
- Execute implementations effectively
- Measure application outcomes
Lecture · Chapter 1 of 5
Predictive Analytics Foundations
Predictive Analytics Foundations
This lesson is Predictive Analytics Foundations. ML for customer prediction
Optional: render an on-demand high-definition instructor video
On-demand render \u00b7 photoreal instructor \u00b7 synchronized narration \u00b7 charged at per-use Credits when enabled.
Course Project
Predictive Customer Platform
Build a predictive analytics system.
Prerequisites
- ML basics
- Statistics
Topics Covered
Your Instructor
Robert Thornton
Distinguished
Former Netflix Head of Data Science who built recommendation systems serving 200M+ users. Creator of the RICE+ analytics framework — the definitive methodology for quantifying brand health through AI-driven metrics.
13
Courses
20K
Students
4.9
Rating
Academy at a Glance
Earn a Certificate
Complete this course and earn a blockchain-verified credential.
View Certifications →