We may earn an affiliate commission when you visit our partners.
Google Cloud Training
This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision making.
Note: This course refreshes many basic topics covered in the From Data to Insights specialization about using BigQuery as a data analyst, and also covers new products like Dataform.
Register for this course and see more details by visiting:
OpenCourser.com/course/sr67as/bigquery
Here's a deal for you
Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Get offer
What's inside
Syllabus
Course Introduction
This module introduces the course agenda.
BigQuery for Data Analysts
In the first module, we look at analytics challenges faced by data analysts and compare big data on-premises versus on the Cloud. We then introduce BigQuery, which is Google Cloud’s enterprise data warehouse, and review its features that make BigQuery a great option for your data analytics needs. And finally, we’ll learn from real-world use cases of companies transformed through analytics on the Cloud.
Read more
Syllabus
Course Introduction
This module introduces the course agenda.
BigQuery for Data Analysts
In the first module, we look at analytics challenges faced by data analysts and compare big data on-premises versus on the Cloud. We then introduce BigQuery, which is Google Cloud’s enterprise data warehouse, and review its features that make BigQuery a great option for your data analytics needs. And finally, we’ll learn from real-world use cases of companies transformed through analytics on the Cloud.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Teaches how to analyze data and make business decisions with BigQuery
Covers data exploration, transformation, loading, and visualization
Shows how to build and version SQL pipelines in BigQuery with Dataform
Introduces BigQuery Studio and explains its capabilities
Provides hands-on labs and demos for practical application
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Reviews summary
Practical bigquery for data analysts
According to students, this course is a largely positive resource for aspiring and current data analysts. Many found the hands-on labs and demos to be incredibly helpful, reinforcing a thorough understanding of BigQuery SQL for data preparation and transformation. The inclusion of new products like Dataform and BigQuery Studio is highly praised for keeping the content relevant to current industry practices and up-to-date. While some learners found the pacing inconsistent or desired more depth in certain modules like visualization, the course generally provides a strong foundation for those working with large datasets on Google Cloud. A few learners highlighted frustrating lab environment setup issues.
Best for those with some data background, not total beginners.
"Good course for beginners to BigQuery."
"As an experienced data professional... The earlier SQL parts were a good refresher, but perhaps too basic for my level."
"Not suitable for complete beginners."
"My main critique is that some parts could benefit from more detailed explanations, particularly for those new to cloud data warehousing."
Provides deep dives into BigQuery SQL for data analysis.
"The deep dive into SQL for data preparation and transformation was exactly what I needed."
"It really helped me solidify my understanding of BigQuery SQL..."
"The content on BigQuery features and SQL was comprehensive."
Covers modern BigQuery features and relevant industry tools.
"...the new Dataform content was very useful for building robust data pipelines."
"As an experienced data professional, I found the Dataform and BigQuery Studio modules particularly valuable. It brought me up to speed with the latest features."
"I especially liked the modules on data visualization and Dataform. They are very relevant for current industry practices."
Practical labs and demos effectively enhance understanding.
"This course is incredibly well-structured and the labs are fantastic. It really helped me solidify my understanding..."
"I appreciated the hands-on labs, they were the best part."
"The labs are well-designed and reinforce learning effectively."
"I liked the practical focus and the amount of hands-on exercises."
Some wished for more comprehensive coverage on visualization.
"Some sections felt a bit rushed, especially the visualization module. I would have liked more depth there."
Mixed feedback on explanation pace and instructional depth.
"Sometimes, the instructor went too fast, and I had to rewatch videos multiple times."
"The course has good information, but the pace can be inconsistent. Some parts are very slow, others are rushed."
"I struggled with some of the explanations."
"My main critique is that some parts could benefit from more detailed explanations..."
Challenges encountered with lab setup and support.
"I encountered issues with the environment setup, which was frustrating. Needs better support for lab issues."
"I also experienced some issues with lab environments which made learning difficult. Support for labs would be a great improvement."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in BigQuery for Data Analysts with these
activities:
Follow SQL Tutorial for Data Analysts
Show steps
Gain familiarity with SQL, a crucial skill for data analysts using BigQuery.
Browse courses on
SQL
Show steps
-
Identify a comprehensive SQL tutorial designed for data analysts.
-
Set aside dedicated time to work through the tutorial.
-
Practice writing SQL queries to explore and manipulate data.
-
Seek assistance from online forums or documentation if needed.
Show all one activities
Follow SQL Tutorial for Data Analysts
Show steps
Gain familiarity with SQL, a crucial skill for data analysts using BigQuery.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Identify a comprehensive SQL tutorial designed for data analysts.
- Set aside dedicated time to work through the tutorial.
- Practice writing SQL queries to explore and manipulate data.
- Seek assistance from online forums or documentation if needed.
Show all one activities
Career center
Learners who complete BigQuery for Data Analysts will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their knowledge of data and machine learning to build models that can predict outcomes and solve problems. This course can be helpful for aspiring Data Scientists by providing a foundation in using BigQuery, a popular data warehouse platform. You will learn about data ingestion, transformation, and querying techniques that are essential for Data Scientists.
Data Architect
Data Architect
Data Architects design and implement data management solutions. This course can be helpful for Data Architects by providing a foundation in using BigQuery, a popular data warehouse platform. You will learn about data ingestion, transformation, and querying techniques that are essential for Data Architects.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. This course can be helpful for Machine Learning Engineers by providing a foundation in using BigQuery, a popular data warehouse platform. You will learn about data ingestion, transformation, and querying techniques that are essential for Machine Learning Engineers.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the systems that process and store data. This course can be helpful for aspiring Data Engineers by providing a strong foundation in using BigQuery, a popular data warehouse platform. You will learn about data ingestion, transformation, and querying techniques that are essential for Data Engineers.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course can be helpful for Database Administrators by providing a foundation in using BigQuery, a popular data warehouse platform. You will learn about data ingestion, transformation, and querying techniques that are essential for Database Administrators.
Business Analyst
Business Analyst
Business Analysts use data to understand business problems and develop solutions. This course can be helpful for Business Analysts by providing a foundation in using BigQuery, a powerful data analysis tool. You will learn how to use BigQuery to explore data, identify trends, and communicate insights to stakeholders, which are valuable skills for Business Analysts.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing campaigns. This course can be helpful for Marketing Analysts by providing a foundation in using BigQuery, a powerful data analysis tool. You will learn how to use BigQuery to analyze customer data, identify trends, and measure the effectiveness of marketing campaigns, which are valuable skills for Marketing Analysts.
Sales Analyst
Sales Analyst
Sales Analysts use data to understand sales trends and identify opportunities. This course can be helpful for Sales Analysts by providing a foundation in using BigQuery, a powerful data analysis tool. You will learn how to use BigQuery to analyze sales data, identify trends, and forecast sales, which are valuable skills for Sales Analysts.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate financial performance and make investment decisions. This course can be helpful for Financial Analysts by providing a foundation in using BigQuery, a powerful data analysis tool. You will learn how to use BigQuery to analyze financial data, identify trends, and make data-driven investment decisions, which are valuable skills for Financial Analysts.
Data Analyst
Data Analyst
Data Analysts use their knowledge of data and analytical tools to help businesses make informed decisions and solve problems. This course can be a useful step towards becoming a Data Analyst by providing a foundation in using BigQuery, a powerful data analysis tool. Through hands-on labs and demos, you will learn how to ingest, transform, and query data in BigQuery, which are critical skills for Data Analysts.
Product Manager
Product Manager
Product Managers develop and manage products. This course can be helpful for Product Managers by providing a foundation in using BigQuery, a powerful data analysis tool. You will learn how to use BigQuery to analyze product usage data, identify customer needs, and make data-driven decisions, which are valuable skills for Product Managers.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and manage risks. This course can be helpful for Risk Analysts by providing a foundation in using BigQuery, a powerful data analysis tool. You will learn how to use BigQuery to analyze risk data, identify trends, and develop risk mitigation strategies, which are valuable skills for Risk Analysts.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software applications. This course can be helpful for Software Engineers by providing a foundation in using BigQuery, a powerful data analysis tool. You will learn about data ingestion, transformation, and querying techniques that can be applied to software development projects.
Project Manager
Project Manager
Project Managers plan, execute, and deliver projects. This course can be helpful for Project Managers by providing a foundation in using BigQuery, a powerful data analysis tool. You will learn how to use BigQuery to track project progress, identify risks, and communicate with stakeholders, which are valuable skills for Project Managers.
Auditor
Auditor
Auditors examine financial records and statements to ensure accuracy and compliance. This course may be helpful for Auditors by providing a foundation in using BigQuery, a powerful data analysis tool. You will learn how to use BigQuery to analyze financial data, identify trends, and detect anomalies, which can assist in the auditing process.
For more career information including salaries, visit:
OpenCourser.com/course/sr67as/bigquery
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
BigQuery for Data Analysts.
A cookbook style guide to BigQuery tools and services. Especially useful for readers who want to get a quick start with BigQuery. A more useful reference than current reading.
Comprehensive guide to Hadoop, a framework for distributed storage and processing of big data. While not specifically focused on GCP, this book will help readers understand the underlying concepts and technologies that are used in BigQuery.
Comprehensive guide to Spark, a fast and general-purpose distributed computing framework. While not specifically focused on GCP, this book will help readers understand the underlying concepts and technologies that are used in BigQuery.
Comprehensive guide to SQL, a language for querying and manipulating data. As this course uses SQL extensively, this book is recommended to help improve SQL skills.
Provides a comprehensive overview of the Python and JavaScript libraries for data visualization. While this course focuses on different tools, it is helpful for readers who want to learn more about data visualization in general.
Introduces readers to the Python libraries for data analysis, specifically Pandas. While this course focuses on different tools, it is helpful for readers who want to learn more about data analysis in general.
Comprehensive guide to machine learning with Python. While not specifically focused on BigQuery, this book will help readers understand the underlying concepts and technologies that are used in machine learning, which common use case for BigQuery.
Practical guide to deep learning with fastai and PyTorch. While not specifically focused on BigQuery, this book will help readers understand the underlying concepts and technologies that are used in deep learning, which common use case for BigQuery.
Comprehensive guide to natural language processing with Python. While not specifically focused on BigQuery, this book will help readers understand the underlying concepts and technologies that are used in natural language processing, which common use case for BigQuery.
Comprehensive guide to machine learning with scikit-learn, Keras, and TensorFlow. While not specifically focused on BigQuery, this book will help readers understand the underlying concepts and technologies that are used in machine learning, which common use case for BigQuery.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/sr67as/bigquery
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Rating
4.4
Effort
12 hours to complete
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser