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.
68/100
CourseAsk score
- What the provider tells you
- 32/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
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
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
More courses like this
Udemy
Coursera
Machine Learning and Reinforcement Learning in Finance
New York University · MOOC / Non-credit
edX
Compared on these lists
Where this course ranks against the alternatives.