SQL Data Science Capstone: Practical Business Data Analysis

Data science professionals must be able to extract, clean, and analyze complex database records to drive strategic business decisions. This text-based course provides a structured space to apply your SQL knowledge to a comprehensive, realistic data science project. Through this practical project, you will transition from writing simple queries to executing professional-level data analysis. You will learn to formulate business questions, retrieve relevant data from relational databases, perform exploratory data analysis, and synthesize your findings into actionable insights. What you'll learn: - Understand foundational database structures, schemas, and relational data models. - Practice writing clean, efficient SQL queries using Common Table Expressions (CTEs) for complex data preparation. - Apply advanced analytical functions, including window functions, to perform trend and cohort analysis. - Analyze real-world business datasets to identify key performance indicators and patterns. - Synthesize raw data into structured summaries that answer critical business questions. - Understand modern SQL practices for data science, including working with analytical database engines. The course begins with essential database concepts and query structure before guiding you step-by-step through a complete business analysis project. You will read detailed explanations, analyze realistic code examples, and practice structured query design. This course is designed for aspiring data analysts, data scientists, and business professionals who have a basic understanding of SQL and want to apply their skills to a practical project. No advanced programming prerequisites are required. Start analyzing data like a professional and complete your first SQL data science project.