SQL Fundamentals for Data Science

Data is the backbone of modern decision-making, but knowing how to access and prepare that data is the first hurdle for any aspiring data professional. This course provides a solid foundation in SQL, moving from basic queries to the practical data manipulation techniques used in data science today. Through clear written explanations and code examples, you will learn how to communicate with databases to extract the exact information you need. You will progress from understanding simple table structures to writing sophisticated queries that solve complex analytical problems. What you'll learn: - Understand core database concepts and relational structures - Write efficient queries to retrieve and filter data from large tables - Apply aggregate functions to summarize datasets and identify trends - Perform complex joins to combine data from multiple sources - Practice data cleaning techniques using string and data-type functions - Utilize Common Table Expressions (CTEs) for readable and organized code - Analyze real-world scenarios to solve business questions using structured data The curriculum begins with essential terminology and foundational definitions before moving into practical query logic and modern best practices for data preparation. This course is designed for absolute beginners with no prior coding or database experience who want to build a career in data. Start building your data science toolkit by mastering the language of databases.