Certificate of Achievement
has completed the following course:
Mastering BigQuery: Building Data Warehouses for Improved Business Performance
Discover how to harness the power of Google BigQuery to build efficient, scalable data warehouses and perform advanced queries. Across two weeks, you’ll learn to organize datasets, define tables, and apply partitioning and clustering. Using SQL and Python, you’ll develop skills in ETL, query optimization, and governance. By the end, you’ll be equipped to manage data effectively, improve analytics, and support data-driven decision-making in any organization.
2 weeks, 1 hour per week
Paul Siegel
Starweaver
Transcript
Learning outcomes
- Understand and Navigate BigQuery: Learn the ins and outs of BigQuery's interface, set up your environment, and access datasets with ease.
- Learn the Principles of Creating Data Warehouses: Create and organize datasets, define tables, and utilize partitioning and clustering for efficient data storage.
- Perform ETL with Python: Build dynamic ETL pipelines using Python, replace and append tables, and configure schema, partitioning, and clustering.
- Comprehend Essential Query Techniques: Understand querying with SQL, exploring aggregate and window functions, and understanding data security and governance.
Syllabus
What we will Cover ?
- Understanding BigQuery Platform
- Creating a Data Warehouse using UI interface and SQL
- Creating a Data Warehouse using Python
- ETL with Python from external sources
- Querying and Governance
In association with
Issued on 22nd March 2026
The person named on this certificate has completed the activities in the transcript above. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement.
This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.
Free online course: