General Data Science EDA Summary

You’ve successfully completed the Exploratory Data Analysis (EDA) layer of the CDI Learning System — working in both Python and R to load, clean, explore, transform, and save your data.

This foundational layer prepares you to move confidently into the next key stage of your journey: visualizing data for insight.

🧱 What You’ve Accomplished

  • ✅ Set up a clean, organized project folder
  • ✅ Gained hands-on experience with essential EDA techniques
  • ✅ Standardized and saved a reusable dataset (data/iris.csv)
  • ✅ Built confidence working with both Python and R side by side

📈 Up Next: Data Visualization (VIZ)

The next layer focuses on turning your cleaned data into clear, compelling visual stories. In this free Visualization (VIZ) layer, you’ll learn how to:

  • Create histograms, boxplots, and scatter plots
  • Compare group differences and detect trends
  • Use matplotlib, seaborn, and ggplot2 for beautiful results
  • Export your visuals for reports, presentations, or dashboards

📚 Your CDI Learning Path

Layer Access
🟢 EDA – Exploratory Data Analysis ✅ Included
🟢 VIZ – Data Visualization ✅ Included
🔒 STATS – Statistical Analysis Premium Only
🔒 ML – Machine Learning Premium Only

📦 Together, these four layers form the full General Data Science Premium Track.

🚀 Continue Learning

You can access the free layers directly via:

To unlock the complete experience including STATS and ML, visit:

🔐 Premium General DS Guide →