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edX

AI-Assisted Data Visualization with Claude Code

via edX

Overview

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This intermediate path teaches practical data visualization with Python using an AI coding assistant as a development partner. You will begin with core workflow basics, including launching sessions, prompting for chart code, and creating simple Matplotlib visualizations.

You will then apply these skills to real CSV datasets, exploring data, building static and interactive plots, and refining visuals for clarity, accuracy, and presentation use. Along the way, you will practice using AI feedback to improve chart design and analytical communication.

The path concludes with reusable workflow customization. You will define project standards, create custom commands, and build modular skills that help automate consistent visualization practices across future data projects.

Syllabus

  • Create basic Python data visualizations from natural language prompts
  • Explore real-world CSV datasets and identify useful visual patterns
  • Build static and interactive charts for analysis and presentation
  • Refine visualizations for accuracy, clarity, and readability
  • Define reusable project standards for visualization workflows
  • Automate repeated analysis tasks with custom commands and modular skills

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