Data Visualization for Brands
Tell stories with data
Create compelling data visualizations that communicate brand insights effectively.

Robert Thornton
Distinguished Professor of Data Analytics & Intelligence
PhD (Stanford Statistics), MS (MIT CSAIL), Ex-Amazon/Netflix Head of Data Science
or 4,900 credits
Plan: starter
What You'll Learn
Create compelling visuals
Build dashboards
Course Curriculum
5 chapters · 240+ minDesign for impact
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
Data Visualization Principles
Data Visualization Principles
This lesson is Data Visualization Principles. Design for impact
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
Brand Analytics Dashboard
Create a visual analytics presentation.
Prerequisites
- Basic data knowledge
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
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