Unlock the power of Google BigQuery as you embark on a journey to become proficient in data warehouse building and advanced querying. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both the user interface and Python. Through hands-on lessons and practical applications, you'll develop the fundamental skills needed to manage, query, and optimize your data in this powerful cloud-based platform.
Build a Data Warehouse Using BigQuery
Build a Data Warehouse Using BigQuery
Taught in English
Advanced level
Recommended experience
8 hours to complete
3 weeks at 2 hours a week
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
Details to know
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Assessments
5 quizzes, 1 assignment
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There is 1 module in this course
Unlock the power of Google BigQuery as you embark on a journey to understand the basic data warehouse builder and query expert. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both UI and Python. Through hands-on lessons and practical applications, you'll develop the basic skills needed to manage, query, and optimize your data in this powerful cloud-based platform.
What's included
24 videos6 readings5 quizzes1 assignment
Instructor
Offered by
Recommended if you're interested in Data Analysis
Coursera Project Network
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