2 Learning Philosophy
CDI supports a practical and layered learning model, helping learners build real-world analytical skills step by step.
2.1 ❓ Q&A-Based Learning
All concepts are introduced through structured Q&A entries—focused, annotated walkthroughs that solve real data problems. Each question is a learning opportunity, and each answer combines code with explanation to build intuition and technical fluency.
2.2 🧱 Layered Structure
Each guide is organized into four analytical layers:
- EDA – Exploratory Data Analysis
- VIZ – Data Visualization
- STATS – Statistical Analysis
- ML – Machine Learning
This structure supports progressive learning and modular content reuse depending on a user’s experience or interest.