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.

Build a Data Warehouse Using BigQuery

Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Create efficient data warehouses and tables using Google BigQuery's UI and SQL.
Build dynamic ETL pipelines with Python, incorporating partitioning and clustering strategies.
Perform advanced queries, including aggregate and window functions, for insightful data analysis.
Skills you'll gain
Tools you'll learn
Details to know

Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills

There is 1 module in this course
Offered by
Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Explore more from Data Science

Google Cloud

Google Cloud

Google Cloud
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.




