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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. Learn how to build a BI dashboard with Data Studio as the front end, powered by BigQuery on the back end

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What's inside

Syllabus

How to Build a BI Dashboard Using Google Data Studio and BigQuery

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores industry-standard tools and software
Builds a foundation for intermediate learners
Offers hands-on practice
Taught by experts in the field

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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 How to Build a BI Dashboard Using Google Data Studio and BigQuery with these activities:
Review basic SQL concepts
Ensure a strong foundation by reviewing basic SQL concepts.
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Show steps
  • Read articles or blog posts
  • Take practice quizzes
  • Review previous course materials
Practice using the Google Cloud Console
Strengthen your familiarity with the Google Cloud Console to enhance your learning experience.
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  • Explore the different sections of the console
  • Create and manage resources
  • Troubleshoot common issues
Explore additional Data Studio tutorials
Enhance your understanding of Data Studio's features by exploring additional tutorials.
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Show steps
  • Visit the Data Studio Help Center
  • Search for tutorials on specific topics
  • Follow along with step-by-step guides
Five other activities
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Show all eight activities
Practice building dashboards
Reinforce your knowledge of dashboard building by completing a series of practice drills.
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Show steps
  • Create a dashboard with a single metric
  • Create a dashboard with multiple metrics
  • Create a dashboard with filters
Join a study group
Collaborative learning can enhance your understanding of the course material.
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Show steps
  • Find or create a study group
  • Meet regularly to discuss the material
  • Work together on projects and assignments
Build a dashboard for a real-world dataset
Apply your skills to a practical challenge by creating a dashboard for a real-world dataset.
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Show steps
  • Choose a dataset that interests you
  • Clean and prepare the data
  • Build a dashboard that visualizes the data
  • Share your dashboard with others
Write a blog post about your dashboard
Share your knowledge and insights by writing a blog post about the dashboard you created.
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Show steps
  • Choose a topic for your blog post
  • Write an outline
  • Draft your post
  • Edit and revise your post
  • Publish your post
Build a dashboard for your own business or organization
Demonstrate your skills by building a dashboard for a real-world application.
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Show steps
  • Identify a business problem that can be solved with a dashboard
  • Gather the necessary data
  • Design and build the dashboard
  • Deploy and monitor the dashboard

Career center

Learners who complete How to Build a BI Dashboard Using Google Data Studio and BigQuery will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analysts help companies make better decisions by collecting, analyzing, and interpreting data. This course provides a foundation in using Google Data Studio and BigQuery, which are essential tools for Business Intelligence Analysts.
Data Analyst
Data Analysts use data to solve business problems. This course will help you build a foundation in using Google Data Studio and BigQuery, which are essential tools for Data Analysts.
Market Researcher
Market Researchers collect and analyze data to understand consumer behavior. This course provides a foundation in using Google Data Studio and BigQuery, which are essential tools for Market Researchers.
Statistician
Statisticians collect, analyze, and interpret data. This course provides a foundation in using Google Data Studio and BigQuery, which are essential tools for Statisticians.
Data Engineer
Data Engineers build and maintain the infrastructure that supports data analysis. This course provides a foundation in using Google Data Studio and BigQuery, which are essential tools for Data Engineers.
Data Scientist
Data Scientists use data to build predictive models. This course provides a foundation in using Google Data Studio and BigQuery, which are essential tools for Data Scientists.
Project Manager
Project Managers plan and execute projects. This course provides a foundation in using Google Data Studio and BigQuery, which are essential tools for Project Managers.
Sales Manager
Sales Managers lead sales teams. This course provides a foundation in using Google Data Studio and BigQuery, which are essential tools for Sales Managers.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course provides a foundation in using Google Data Studio and BigQuery, which are essential tools for Software Engineers.
Product Manager
Product Managers develop and launch new products. This course provides a foundation in using Google Data Studio and BigQuery, which are essential tools for Product Managers.
Technical Writer
Technical Writers create documentation for software and other products. This course may be useful for Technical Writers who want to learn how to use Google Data Studio and BigQuery to analyze user data.
Web Developer
Web Developers design and develop websites. This course may be useful for Web Developers who want to learn how to use Google Data Studio and BigQuery to analyze website traffic data.
Teacher
Teachers teach students at all levels. This course may be useful for Teachers who want to learn how to use Google Data Studio and BigQuery to analyze student data.
User Experience Designer
User Experience Designers design the look and feel of products. This course may be useful for User Experience Designers who want to learn how to use Google Data Studio and BigQuery to analyze user data.
Writer
Writers create content for a variety of purposes. This course may be useful for Writers who want to learn how to use Google Data Studio and BigQuery to analyze reader data.

Reading list

We've selected nine 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 How to Build a BI Dashboard Using Google Data Studio and BigQuery.
Provides a comprehensive overview of data visualization principles and techniques, covering topics such as data exploration, visual encodings, and dashboard design. It is particularly useful for readers who are new to data visualization or who want to improve their skills in this area.
Provides a comprehensive guide to using Python for data analysis. It covers topics such as data manipulation, visualization, and machine learning, and provides hands-on examples of how to use Python to solve real-world problems.
Provides a comprehensive guide to using R for data analysis. It covers topics such as data manipulation, visualization, and machine learning, and provides hands-on examples of how to use R to solve real-world problems.
Provides a comprehensive guide to using machine learning for data analysis. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning, and provides hands-on examples of how to use machine learning to solve real-world problems.
Provides a comprehensive guide to using deep learning for data analysis. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks, and provides hands-on examples of how to use deep learning to solve real-world problems.
Provides a practical guide to using SQL, a powerful language for data analysis. It covers topics such as data manipulation, aggregation, and filtering, and provides hands-on examples of how to use SQL to solve real-world problems.
Provides a gentle introduction to data analysis. It covers topics such as data collection, data cleaning, and data visualization, and provides hands-on examples of how to use basic data analysis techniques to solve real-world problems.
Provides a comprehensive guide to using Tableau, a popular data visualization tool. It covers topics such as data source connection, dashboard creation, and report sharing.
Provides a comprehensive guide to using Power BI, a powerful data visualization tool from Microsoft. It covers topics such as data source connection, dashboard creation, and report sharing.

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