Data Modeling and SQL for Data Warehousing

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Learn how to design relational structures, model warehouse schemas, and write SQL queries that support analytics and reporting through this comprehensive course in the Data Engineering Skill Path. You will develop essential competencies including deriving new columns using SQL expressions, summarizing data with aggregates, retrieving records from warehouse tables, performing join operations across multiple sources, interpreting Entity-Relationship Diagrams, and identifying fact and dimension tables within dimensional models. Through hands-on practice in SQL environments and data modeling exercises, you will learn to build well-structured datasets that power downstream analytics. This course brings together expertise from multiple IBM instructional teams, offering a range of perspectives on SQL development and warehouse design. You will progress from understanding relational fundamentals and ERDs, to writing increasingly complex SQL queries, and finally to modeling warehouse structures such as star and snowflake schemas. The curriculum blends conceptual foundations with practical exercises, preparing you to confidently design data structures and write efficient SQL for real-world data warehousing workflows. Perfect for aspiring data engineers and learners seeking strong skills in SQL querying, relational modeling, and warehouse architecture.

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