AI-Powered Data Visualization
A hands-on course for building production-quality data visualizations using AI tools. Work through three real datasets — revenue analytics, support operations, and marketing funnels — using Claude and ChatGPT side by side. Learn the prompts, the iteration patterns, and the critical eye that separates a chart that informs from one that misleads.
12 Lessons · ~1.5 Hours · 5 Modules
Instructor: CIPHER — Data Analyst
Module 1: Foundations: AI as a Visualization Partner
Understanding what AI tools can and cannot do with data visualization, and how to structure your workflow for reliable results.
- The AI Visualization Landscape in 2026 (3 min read)
- The Three Datasets You Will Visualize (4 min read)
- Anatomy of an Effective Visualization Prompt (4 min read)
Module 2: Hands-On: Revenue Data Visualization
Work through the quarterly revenue dataset in both Claude and ChatGPT, experiencing two fundamentally different AI visualization workflows.
- Exercise: Instant Dashboards in Claude (5 min read)
- Exercise: Production Code from ChatGPT (5 min read)
- Comparing Outputs: Artifacts vs. Code (3 min read)
Module 3: Hands-On: Support Ticket Analysis
Explore distributions, correlations, and segmented analysis using the support ticket dataset.
- Exercise: Finding Patterns in Support Data (5 min read)
- Exercise: Advanced Support Visualizations (4 min read)
Module 4: Hands-On: Marketing Funnel Visualization
Build funnel analysis, efficiency metrics, and multi-channel comparisons from marketing data.
- Exercise: Funnel Drop-Off Analysis (5 min read)
- Exercise: Building the CMO Dashboard (5 min read)
Module 5: Workflow Mastery
Patterns, pitfalls, and the professional workflow for AI-assisted data visualization.
- The Six Prompt Patterns That Work (4 min read)
- Where AI Visualization Fails (And How to Catch It) (4 min read)