Google BigQuery for Data and ML Engineers

Coursera MOOC / Non-credit USD 49
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Google BigQuery for Data and ML Engineers

About this course

Learn how to use Google BigQuery to enhance your data engineering and machine learning skills in this practical, instructor-led course. Taught by experienced cloud architect and author Dan Sullivan, you’ll work with BigQuery’s serverless architecture, advanced SQL, and data warehousing features to efficiently manage and analyze large datasets. This course is suitable for both beginners and those with experience. You’ll get hands-on practice with data ingestion, transformation, and building reliable data pipelines. The curriculum covers how to create, evaluate, and deploy machine learning models within BigQuery, as well as recent generative AI applications. Through real-world projects and clear instruction, you’ll build the skills needed to use BigQuery in your day-to-day work. Whether you’re new to the field or looking to expand your knowledge, this course offers practical tools and techniques for data engineering and machine learning.

What you'll learn

  • Understand the serverless architecture of Google BigQuery
  • Use advanced SQL for data manipulation
  • Manage and analyze large datasets effectively
  • Implement data ingestion and transformation techniques
  • Build reliable data pipelines
  • Create, evaluate, and deploy machine learning models
  • Explore recent generative AI applications

Skills you'll gain

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