Predictive Brand Modeling
Forecast brand performance
Build predictive models to forecast brand performance, market shifts, and emerging trends. Master time series analysis and ML forecasting for brand planning. Learn to build models that predict brand health metrics and identify opportunities before they emerge.
Prof. Robert Thornton
Distinguished Professor of Data Analytics & Intelligence
PhD (Stanford Statistics), MS (MIT CSAIL), Ex-Amazon/Netflix Head of Data Science
or 7,998,000 credits
Plan: supreme
What You'll Learn
Build predictive models for brand metrics
Master time series forecasting techniques
Develop scenario planning capabilities
Deploy models in production environments
Course Curriculum
5 chapters · 340+ minPredictive Analytics Foundations
60mBuilding the forecasting mindset for brand management
Time Series Analysis
75mApplying ARIMA, Prophet, and deep learning to brand metrics
Brand Performance Modeling
70mBuilding ML models that predict brand health indicators
Scenario Planning
65mDeveloping AI-assisted scenarios for strategic planning
Model Deployment
70mImplementing predictive models in production environments
Course Project
Brand Forecast Model
Create a predictive model for brand performance
Prerequisites
- Advanced analytics
- Statistics knowledge
Topics Covered
Your Instructor
Prof. 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
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