Practical SQL for Junior Data Analysis

SQL is the universal language of data. If you want to move into a data analysis role, proficiency in writing efficient queries is non-negotiable. This course provides a solid foundation in SQL, specifically tailored for the tasks data analysts perform daily. You will move beyond simple selects to confidently handle complex joins, manage large datasets, and apply advanced analytical functions (like window functions) to extract meaningful business insights. What you'll learn: * Understand core database concepts and relational schema design principles. * Practice writing efficient queries using SELECT, WHERE, GROUP BY, and HAVING clauses. * Master complex data retrieval using various JOIN types and Common Table Expressions (CTEs). * Apply powerful analytical tools, including subqueries and window functions, for advanced metric calculation. * Learn basic performance concepts like indexing to optimize query speed and efficiency. * Clean and transform raw data using string manipulation, date functions, and conditional logic. The course begins with foundational terminology and database structure, then progresses through data querying and manipulation, concluding with advanced techniques necessary for deep analytical work. Each section includes practical exercises to reinforce understanding. This course is designed for absolute beginners, aspiring data analysts, or professionals looking to transition into a data-focused role. No prior SQL or programming experience is required. Start your journey toward becoming a skilled data analyst today.