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Capstone: The End-to-End Analysis in Data Science

Bring it all together. From raw data ingestion and cleaning to feature engineering and statistical visualization.

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Ingestion & Health

Load data and perform the initial quality check.

Technical Specification //

  • β†’Loading CSVs with Pandas
  • β†’Using `.info()` and `.head()`
  • β†’Checking datatypes and memory

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 chartsβ€”it's to answer business questions. Why are prices rising? Which locations offer the best value per square foot? Your analysis must provide actionable answers.

?Frequently Asked Questions

Pascual Vila

Pascual Vila

Lead Instructor

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