The capstone project is your opportunity to apply everything you've learned. You will take a raw real-estate dataset and perform a full Exploratory Data Analysis (EDA). You'll handle missing values, engineer new features, and use visualizations to uncover the variables that most strongly influence housing prices.
1The Workflow
A professional data project follows a structured path: Data Ingestion -> Cleaning & Preprocessing -> Feature Engineering -> Visualization -> Insight Extraction. Skipping any of these steps leads to biased or incorrect conclusions.
2Insight Extraction
The goal of EDA isn't just to make chartsβit's to answer business questions. Why are prices rising? Which locations offer the best value per square foot? Your analysis must provide actionable answers.
