Builds on foundational data interpretation and query skills to focus on preparing data for analysis and real-world use. The course explores how datasets are cleaned, transformed, and structured to improve usability and consistency. Learners apply intermediate query techniques to reshape data, evaluate data quality, and work with both structured and semi-structured formats such as JSON. The course introduces how prepared data supports modern systems, including analytics and emerging AI applications. Emphasis is placed on practical data handling, clarity of results, and communicating data-driven insights.