Build a Data Warehouse Using BigQuery

This course provides a practical, hands-on introduction to Google BigQuery for building efficient data warehouses and performing advanced queries. You’ll learn how to set up and access BigQuery, create data warehouses using both the web interface and Python, and apply optimization techniques to manage and analyze large datasets in the cloud. Designed for data analysts, data engineers, and business intelligence professionals, the course is also valuable for aspiring analysts seeking to strengthen SQL skills and gain experience with enterprise-scale data management. A basic understanding of SQL and core data concepts is recommended. By the end, you’ll be able to design scalable data warehouses, run complex queries, and extract actionable insights—enabling data-driven decision-making and improving business performance using the full capabilities of Google BigQuery

• Create efficient data warehouses and tables using Google BigQuery UI and SQL
• Build dynamic ETL pipelines with Python using partitioning and clustering strategies
• Perform advanced queries including aggregate and window functions for insightful data analysis

• Prior hands-on experience with core concepts covered in this course
• Comfort applying main tools or methods independently