
BigQuery Fundamentals for Redshift Professionals
Coursera · Google Cloud · Updated
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
Self-paced
Classes
8
This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Redshift and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Redshift, you also learn about similarities and differences between Redshift and BigQuery to help you get started with data warehouses in BigQuery.
BigQuery Fundamentals for Redshift Professionals on Coursera is a self-paced course designed for data professionals with existing experience in Amazon Redshift who need to transition their skills to Google BigQuery. The course covers core BigQuery operations, including resource provisioning, data asset creation and sharing, data ingestion from various sources, and query performance optimization. It explicitly leverages a learner's Redshift knowledge by highlighting similarities and differences between the two platforms, aiming to accelerate proficiency in the Google Cloud data warehouse environment.
What you'll learn in BigQuery Fundamentals for Redshift Professionals
Our Review of BigQuery Fundamentals for Redshift Professionals
BigQuery Fundamentals for Redshift Professionals is a sharply focused, practical course that efficiently addresses a specific career transition need. Its structure, built around interactive lectures and hands-on labs, is designed for immediate application, allowing professionals to translate their existing Redshift knowledge into BigQuery competency. The curriculum suggests a learner will gain operational confidence in core tasks like provisioning resources, ingesting data, and optimizing queries within BigQuery, effectively bridging the gap between two major cloud data warehouse ecosystems.
The self-paced format and the lack of formal prerequisites make this course highly accessible for working professionals, though the implied audience is those already proficient with SQL and Redshift concepts. At $49 with a certificate of completion, the course offers clear, transactional value for its targeted goal, providing a cost-effective and credentialed stepping stone for career development or project requirements involving Google Cloud. The depth appears appropriate for its fundamental label, focusing on practical onboarding rather than advanced architectural deep dives.
A key strength of this course is its contextual framing for Redshift users, which should reduce the learning curve and prevent redundant coverage of general data warehouse principles. However, the value is contingent on the learner's existing Redshift experience; without that background, the comparative insights lose relevance. The course delivers a focused, platform-specific skill set that is directly applicable to real-world data engineering and analysis tasks in BigQuery.
Pros and cons of BigQuery Fundamentals for Redshift Professionals
Pros
- Explicitly designed for Redshift professionals, leveraging prior knowledge to accelerate BigQuery learning
- Includes hands-on labs for practical, applied experience with BigQuery operations
- Self-paced format provides flexibility for working professionals
- Affordable pricing at $49 for a focused, skill-specific course
- Offers a shareable certificate of completion, adding credential value
Things to consider
- Assumes prior experience with Amazon Redshift, limiting its relevance for general beginners
- Self-paced format requires strong self-discipline without instructor-led scheduling
- Fundamental scope may not satisfy learners seeking advanced BigQuery optimization or administration topics
Who should take BigQuery Fundamentals for Redshift Professionals?
This course is an ideal fit for data engineers, analysts, or database administrators who are currently working with Amazon Redshift and need to quickly add Google BigQuery to their skill set for a new job, project, or career expansion. It suits self-motivated learners who prefer a direct, comparative approach to learning a new platform.
BigQuery Fundamentals for Redshift Professionals at a glance
| Provider | Coursera |
|---|---|
| Instructor | Google Cloud |
| Level | Beginner |
| Time to complete | Self-paced |
| Pricing | $49 |
| Certificate | Certificate |
| Prerequisites | None |
Fit
Best for
Not ideal for
The bottom line on BigQuery Fundamentals for Redshift Professionals
BigQuery Fundamentals for Redshift Professionals is a highly effective and efficient course for its intended audience, successfully translating Redshift expertise into practical BigQuery skills. For professionals making this specific platform transition, it offers excellent value for time and money.
BigQuery Fundamentals for Redshift Professionals: frequently asked questions
What is the BigQuery Fundamentals for Redshift Professionals course on Coursera?
BigQuery Fundamentals for Redshift Professionals is a self-paced Coursera course by Google Cloud that teaches Redshift users how to work in BigQuery, covering resource provisioning, data asset management, ingestion, and query optimization through lectures and labs.
Do I need any prerequisites to take the BigQuery Fundamentals for Redshift Professionals course?
The course lists no formal prerequisites, but its design and description are explicitly for professionals familiar with SQL-based cloud data warehouses in Redshift, making that experience essential for the intended learning context.
How much does the BigQuery Fundamentals for Redshift Professionals course cost and is there a certificate?
The BigQuery Fundamentals for Redshift Professionals course costs $49 and includes a yes certificate of completion, providing a cost-effective way to gain a credentialed skill in BigQuery.
How does this course compare to a general beginner's BigQuery course?
Unlike a general beginner course, BigQuery Fundamentals for Redshift Professionals directly compares BigQuery to Redshift, allowing experienced users to map concepts and skip foundational data warehouse theory for faster, more relevant learning.
How can I get the most out of the BigQuery Fundamentals for Redshift Professionals course?
To get the most from this course, actively compare each BigQuery feature and lab exercise to your hands-on Redshift experience, noting the operational similarities and differences highlighted in the content for deeper understanding.
Alternatives to BigQuery Fundamentals for Redshift Professionals

Build and Modernize Applications With Generative AI
Coursera · Google Cloud
This learning path is for application developers who want to enhance their projects with the power of generative AI and accelerate their development workflow. From understanding the core concepts of Gemini, Google's advanced language model, to building end-to-end applications on Google Cloud, this path will guide you through essential techniques and tools. You'll learn how to leverage Gemini Code Assist to streamline your development process, whether you're working with the command-line interface, configuring it for your organization, or kicking off a new project. Finally, dive into hands-on labs to practice what you've learned and earn several skill badges.

Creating Business Value with Data and Looker
Coursera · Google Cloud
This series of courses introduces data in the cloud and Looker to someone who would like to become a Looker Developer. It includes the background on how data is managed in the cloud and how it can be used to create value for an organization. You will then learn the skills you need as a Looker Developer to use the Looker Modeling Language (LookML) to empower your organization to conduct self-serve data exploration, analysis and visualization.

Data Analytics and Visualization
Coursera · Google Cloud
This learning path provides a comprehensive introduction to the data lifecycle, focusing on how to derive actionable insights using Google Cloud’s powerful analytics tools. Learners will progress from foundational cloud concepts to advanced data transformation with BigQuery and professional dashboarding in Looker Studio. By the end of this path, you will be able to ingest, clean, and visualize complex datasets to support data-driven decision-making.