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Mastering SQL is essential for every data scientist working with real-world datasets. This advanced course is designed to build your expertise in writing powerful and efficient SQL queries used in data analytics and machine learning pipelines. You'll explore complex JOINs, foreign key relationships, and set operations like UNION and INTERSECT. Learn to implement subqueries effectively, including scalar and correlated types, and simplify data handling through views. You'll also work with string, date, and mathematical functions to clean and transform data efficiently. Advanced analytics topics like window functions (RANK, ROW_NUMBER, LAG) are covered in-depth. Finally, you’ll gain hands-on experience through a real-world capstone project, helping you apply your knowledge in practical, industry-level scenarios.
Learn practical SQL techniques used in real industry projects and analytics workflows.
From complex JOINs to nested subqueries, sharpen your data extraction and manipulation skills.
Use indexing, views, and query tuning methods to write faster, more efficient SQL code.
Apply everything in a final real-world project to showcase your expertise and build your portfolio.