Practical SQL for Data Science

To succeed in data science, you first need to master the language of data: SQL. If you need to extract information from relational databases for analysis, this course will give you the foundational skills to do it effectively. This text-based course provides a practical foundation in SQL, tailored specifically for the needs of aspiring data analysts and scientists. You will move beyond basic queries to learn how to join tables, aggregate data, and perform complex filtering, enabling you to confidently extract and shape the exact datasets you need for your projects. What you'll learn: - Write foundational SQL queries to select, filter, and sort data from tables. - Combine information from multiple tables using various types of JOINs. - Summarize and group data using aggregate functions to uncover key metrics. - Clean and transform data with common string, date, and numeric functions. - Organize complex logic and improve query readability using Common Table Expressions (CTEs). - Apply powerful window functions to perform advanced analytical calculations over your data. - Understand the fundamentals of relational database structure and data types. The course begins with core database concepts and simple query syntax, then progressively builds to more complex data manipulation and analytical techniques through clear explanations and hands-on exercises. This course is designed for absolute beginners. No prior experience with databases or programming is required to get started. Start reading today and build the essential SQL skills for a career in data.