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BigQuery Basics for Data Analysts

Google Cloud Training
Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive collection of BigQuery Google Cloud Labs Series. BigQuery is Google's fully...
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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive collection of BigQuery Google Cloud Labs Series. BigQuery is Google's fully managed, NoOps, low-cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. Note: you will have timed access to the online environment. You will need to complete the lab within the allotted time.
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Designed for data analysts who want to scale their efforts without managing database hardware
Suitable for learners with some experience in data analysis and SQL who want to enhance their skills in using BigQuery
Taught by Google Cloud Training, recognized experts in BigQuery and data analytics
Provides hands-on practice through interactive labs, allowing learners to apply their knowledge
Covers industry-standard practices for querying and analyzing data in BigQuery

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Reviews summary

Bigquery fundamentals

An introductory course on the basics of BigQuery. This course has been praised for its hands-on labs and its ability to help learners gain foundational knowledge of SQL and BigQuery. However, some learners have remarked that the course could be more engaging if it had more opportunities to practice writing queries independently.
Introduces the basics of SQL and BigQuery.
"Excellent course! I could understand the basics of SQL and BigQuery."
"Really learnt a lot. On my way to an SQL Pro"
Interactive course with hands-on labs.
"Insightful, easy to follow, complete hands-on lab for starting as a Data Analyst with Google."
Limited opportunities to practice writing queries independently.
"Needs section where the student is encouraged to try and write queries themselves rather than simply copy and pasting."

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 Basics for Data Analysts with these activities:
Review SQL
Solidify your understanding of SQL concepts and syntax before starting the course to enhance your ability to effectively query and manipulate data in BigQuery.
Browse courses on SQL
Show steps
  • Review SQL syntax and commands
  • Practice writing basic SQL queries
  • Complete online tutorials or exercises on SQL
Review Google Cloud concepts and terminologies
Refreshes and solidifies the foundational knowledge of Google Cloud concepts required for a better understanding of BigQuery.
Browse courses on Google Cloud
Show steps
  • Read the Google Cloud documentation on basic concepts
  • Review Google Cloud tutorials and videos to gain familiarity
  • Take a Google Cloud fundamentals course or workshop
Practice SQL queries on sample BigQuery datasets
Reinforces your understanding of BigQuery syntax and query optimization techniques by practicing on real-world datasets.
Show steps
  • Explore the BigQuery Public Datasets catalog
  • Select a dataset that aligns with your interests or learning goals
  • Write SQL queries to extract insights from the dataset
  • Analyze your query results and identify areas for improvement
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Complete BigQuery tutorials
Supplement your understanding of BigQuery's features and capabilities by following guided tutorials that provide hands-on experience in querying and analyzing data.
Browse courses on BigQuery
Show steps
  • Access the official BigQuery documentation
  • Follow step-by-step tutorials on creating datasets, tables, and queries
  • Experiment with different query optimizations
Complete Google BigQuery tutorials
Develops practical skills in using BigQuery by following guided tutorials and hands-on exercises provided by Google.
Browse courses on BigQuery
Show steps
  • Follow the 'Getting Started with BigQuery' tutorial
  • Complete the 'BigQuery for Beginners' codelab
  • Explore other BigQuery tutorials and labs to deepen understanding
  • Experiment with BigQuery's features and functionality
Solve BigQuery practice problems
Reinforces understanding and builds proficiency in using BigQuery through solving practice problems and challenges.
Browse courses on BigQuery
Show steps
  • Find BigQuery practice problems online or in books
  • Attempt to solve the problems independently
  • Review solutions and identify areas for improvement
  • Repeat the process to strengthen skills
Assist peers in understanding BigQuery
Explaining concepts to others reinforces your own understanding and helps solidify your knowledge of BigQuery.
Browse courses on Peer Support
Show steps
  • Join online forums or discussion groups related to BigQuery
  • Identify questions and provide helpful responses to fellow learners
  • Offer to help with specific BigQuery tasks or projects
Practice BigQuery querying
Build proficiency in writing efficient and effective BigQuery queries by engaging in regular practice exercises that challenge your ability to extract insights from complex datasets.
Browse courses on BigQuery
Show steps
  • Design and execute queries on sample datasets
  • Analyze query execution plans
  • Participate in online coding challenges or hackathons
Build a BigQuery dashboard
Applies BigQuery knowledge to create a practical and valuable data visualization tool for analyzing and presenting data insights.
Browse courses on BigQuery
Show steps
  • Define the purpose and scope of the dashboard
  • Gather and prepare the necessary data in BigQuery
  • Design and implement the dashboard using a visualization tool
  • Test and refine the dashboard based on feedback
Write a blog post or article on BigQuery
Enhances understanding and solidifies knowledge by explaining concepts and sharing insights related to BigQuery.
Browse courses on BigQuery
Show steps
  • Choose a topic and research relevant information
  • Outline the article and write a draft
  • Revise and edit the content for clarity and accuracy
  • Publish the article on a blog or platform

Career center

Learners who complete BigQuery Basics for Data Analysts will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts gather, clean, and analyze data to help organizations make informed decisions. This course can help you build the skills needed to query large datasets and extract meaningful insights, which are essential tasks for Data Analysts. The course covers topics such as SQL, BigQuery's pay-as-you-go model, and best practices for querying data warehouses. This knowledge will give you a strong foundation for a career as a Data Analyst.
See salaries and explore the career path for Data Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns that can help businesses make better decisions. This course can help you develop the skills needed to query and analyze data using BigQuery, which is a valuable tool for Business Intelligence Analysts. The course covers topics such as SQL, data visualization, and best practices for data analysis. This knowledge will give you a strong foundation for a career as a Business Intelligence Analyst.
See salaries and explore the career path for Business Intelligence Analyst
Data Scientist
Data Scientists use data to solve complex problems and develop new products and services. This course can help you build the skills needed to query and analyze large datasets using BigQuery, which is a valuable tool for Data Scientists. The course covers topics such as SQL, machine learning, and best practices for data analysis. This knowledge will give you a strong foundation for a career as a Data Scientist.
See salaries and explore the career path for Data Scientist
Data Engineer
Data Engineers design and build the systems that store and process data. This course can help you build the skills needed to query and analyze data using BigQuery, which is a valuable tool for Data Engineers. The course covers topics such as SQL, data warehousing, and best practices for data management. This knowledge will give you a strong foundation for a career as a Data Engineer.
See salaries and explore the career path for Data Engineer
Database Administrator
Database Administrators manage and maintain databases. This course can help you build the skills needed to query and analyze data using BigQuery, which is a valuable tool for Database Administrators. The course covers topics such as SQL, data security, and best practices for database management. This knowledge will give you a strong foundation for a career as a Database Administrator.
See salaries and explore the career path for Database Administrator
Statistician
Statisticians collect, analyze, and interpret data to help organizations make informed decisions. This course can help you build the skills needed to query and analyze large datasets using BigQuery, which is a valuable tool for Statisticians. The course covers topics such as SQL, statistical analysis, and best practices for data analysis. This knowledge will give you a strong foundation for a career as a Statistician.
See salaries and explore the career path for Statistician
Market Researcher
Market Researchers collect and analyze data to help businesses understand their customers and make better decisions. This course can help you build the skills needed to query and analyze large datasets using BigQuery, which is a valuable tool for Market Researchers. The course covers topics such as SQL, market research, and best practices for data analysis. This knowledge will give you a strong foundation for a career as a Market Researcher.
See salaries and explore the career path for Market Researcher
Financial Analyst
Financial Analysts use data to analyze financial trends and make investment recommendations. This course can help you build the skills needed to query and analyze large datasets using BigQuery, which is a valuable tool for Financial Analysts. The course covers topics such as SQL, financial analysis, and best practices for data analysis. This knowledge will give you a strong foundation for a career as a Financial Analyst.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
Operations Research Analysts use data to solve complex problems and improve efficiency. This course can help you build the skills needed to query and analyze large datasets using BigQuery, which is a valuable tool for Operations Research Analysts. The course covers topics such as SQL, optimization, and best practices for data analysis. This knowledge will give you a strong foundation for a career as an Operations Research Analyst.
See salaries and explore the career path for Operations Research Analyst
Software Engineer
Software Engineers design, build, and maintain software systems. This course can help you build the skills needed to query and analyze data using BigQuery, which is a valuable tool for Software Engineers. The course covers topics such as SQL, data integration, and best practices for data management. This knowledge will give you a strong foundation for a career as a Software Engineer.
See salaries and explore the career path for Software Engineer
Data Architect
Data Architects design and build the systems that store and process data. This course can help you build the skills needed to query and analyze data using BigQuery, which is a valuable tool for Data Architects. The course covers topics such as SQL, data modeling, and best practices for data management. This knowledge will give you a strong foundation for a career as a Data Architect.
See salaries and explore the career path for Data Architect
Product Manager
Product Managers define and manage the development of products. This course can help you build the skills needed to query and analyze data using BigQuery, which is a valuable tool for Product Managers. The course covers topics such as SQL, product analytics, and best practices for data analysis. This knowledge will give you a strong foundation for a career as a Product Manager.
See salaries and explore the career path for Product Manager
Project Manager
Project Managers plan and execute projects. This course can help you build the skills needed to query and analyze data using BigQuery, which is a valuable tool for Project Managers. The course covers topics such as SQL, project management, and best practices for data analysis. This knowledge will give you a strong foundation for a career as a Project Manager.
See salaries and explore the career path for Project Manager
Business Analyst
Business Analysts identify and solve business problems. This course can help you build the skills needed to query and analyze data using BigQuery, which is a valuable tool for Business Analysts. The course covers topics such as SQL, business analysis, and best practices for data analysis. This knowledge will give you a strong foundation for a career as a Business Analyst.
See salaries and explore the career path for Business Analyst
Consultant
Consultants provide expert advice to organizations. This course can help you build the skills needed to query and analyze data using BigQuery, which is a valuable tool for Consultants. The course covers topics such as SQL, data analysis, and best practices for data presentation. This knowledge will give you a strong foundation for a career as a Consultant.
See salaries and explore the career path for Consultant

Reading list

We've selected eight 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 Basics for Data Analysts.
Cover image
Data Science on the Google Cloud Platform
Save
Beginner-friendly guide to using BigQuery. It covers the basics of BigQuery, including how to create and manage datasets, tables, and queries. It valuable resource for anyone who is new to BigQuery or wants to learn more about its basics.
Data Science on the Google Cloud Platform
Paperback
Check
Data Science on the Google Cloud Platform
Kindle Edition
Check
Cover image
Python Data Science Essentials
Save
Provides a practical introduction to machine learning for data analytics. It includes hands-on examples using BigQuery and great resource for those looking to learn how to apply machine learning to data analysis tasks.
Python Data Science Essentials: A practitioner’s...
Kindle Edition
$$
Python Data Science Essentials: Become an Efficient...
Paperback
$$
Python Data Science Essentials - Second Edition:...
Paperback
$$
Cover image
Data Governance: The Definitive Guide
Save
Practical guide to using BigQuery for big data. It covers a wide range of topics, from data ingestion and transformation to querying and visualization. It valuable resource for anyone who wants to learn how to use BigQuery to manage and analyze big data.
Data Governance: The Definitive Guide: People,...
Paperback
$$
Data Governance: The Definitive Guide: People,...
Kindle Edition
$$
Cover image
Python for Data Analysis
Save
Provides a comprehensive overview of data analysis using Python, including data manipulation, visualization, and machine learning. It's a great resource for those looking to learn how to use Python for data analysis or enhance their existing skills.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
A First Course on Cloud-Based Microservices
Save
Provides a comprehensive overview of cloud computing, including BigQuery. It's a great resource for those new to cloud computing or looking to understand how BigQuery fits into the cloud ecosystem.
A First Course on Cloud-Based Microservices
Paperback
Check
A First Course on Cloud-Based Microservices
Kindle Edition
Check
Cover image
Data Science for Business
Save
Provides a business-oriented introduction to data science, including BigQuery. It's a great resource for those looking to understand the role of data science in business and how BigQuery can be used to drive data-driven insights.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$
Cover image
Data Science on the Google Cloud Platform
Save
Practical guide to using BigQuery for data analysis. It covers a wide range of topics, from data ingestion and transformation to querying and visualization. It valuable resource for anyone who wants to learn how to use BigQuery for data analysis.
Data Science on the Google Cloud Platform:...
Paperback
$$
Data Science on the Google Cloud Platform
Kindle Edition
$$$
Cover image
Google BigQuery: The Definitive Guide
Save
Practical guide to using BigQuery for architects. It covers a wide range of topics, from data ingestion and transformation to querying and visualization. It valuable resource for anyone who wants to learn how to use BigQuery for architecture.
Google BigQuery: The Definitive Guide
Paperback
Check
Google BigQuery: The Definitive Guide
Kindle Edition
Check

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Time
4 hours
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
BigQuery Basics for Data Analysts belongs to the following collections:
  1. Hands-on Foundations for Data Science and Machine Learning Google Cloud Labs
  2. Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs
Good to know
Designed for data analysts who want to scale their efforts without managing database hardware
Suitable for learners with some experience in data analysis and SQL who want to enhance their skills in using BigQuery
Taught by Google Cloud Training, recognized experts in BigQuery and data analytics
Provides hands-on practice through interactive labs, allowing learners to apply their knowledge
Covers industry-standard practices for querying and analyzing data in BigQuery
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