Q&A 8 How can institutions structure full courses using CDI Q&A guides?

8.1 Explanation

Each CDI domain is organized as a modular Q&A sequence, already scaffolded into four learning layers:

• EDA – Exploratory Data Analysis
  
• VIZ – Visualization
  
• STATS – Statistical Analysis
  
• ML – Machine Learning

To build a full course from CDI content:

1. Select a domain (e.g., General Data Science, Microbiome, Career Growth)
   
2. Use the four CDI layers as core modules
   
3. Assign each Q&A as:
   • Reading or demo (via GitHub Pages)
     
   • Coding activity or lab
     
   • Homework or peer discussion
     
4. Supplement with your own lectures, videos, or grading system

This makes it easy to adapt CDI to both credit-bearing academic programs and non-formal upskilling paths.

✅ Takeaway: CDI guides can serve as a complete, modular backbone for hands-on, data-centric courses in diverse institutional settings.

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