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BigQuery for Data Analysts

Google Cloud

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.

Read more

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.

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.

This course is no longer available. Find something similar by browsing:
BigQuery Data Analysis Data Transformation Data Querying Data Visualization Dataform Decision Making

What's inside

Syllabus

Course Introduction
BigQuery for Data Analysts
Exploring and Preparing Your Data with BigQuery
Cleaning and Transforming your Data
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Taught by Google Cloud, recognized for their work in developing the course's subject matter
Examines BigQuery, which is highly relevant to data analysts
Develops skills in ingesting, transforming, and querying data in BigQuery, which are core to data analysis
Provides multiple learning formats, including videos, labs, and demos, to enhance engagement
Covers the basics of BigQuery for beginners, providing a foundation for further learning
Requires familiarity with data analysis concepts, which may be a barrier for absolute beginners

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Reviews summary

Hands-on bigquery skills for data professionals

According to students, this course offers a largely positive and practical learning experience for data analysts, particularly those new to BigQuery. Learners frequently praise the hands-on labs and real-world examples for solidifying their understanding. The instructor's clear explanations and engaging teaching style are often highlighted. The inclusion of topics like Dataform for scalable pipelines is seen as a significant strength. While many find it an excellent foundation, some with prior experience feel it is too basic and could benefit from more advanced optimization techniques. Overall, it's considered highly relevant for improving professional workflows.
Modern topics like Dataform are included, aiding scalable pipelines.
"I particularly appreciated the modules on Dataform, which is a game-changer for building scalable data pipelines."
"The Dataform section was a pleasant surprise."
"I particularly liked the structured way the course is presented, from basic queries to more advanced concepts like Dataform."
Offers an excellent and comprehensive introduction for beginners.
"As a beginner to BigQuery, this course was perfect! The step-by-step guidance in the labs was invaluable."
"A very good introduction to BigQuery... it provided a solid foundation."
"Solid course for understanding BigQuery fundamentals... it's a great starting point."
Instructor provides clear explanations and has an engaging teaching style.
"The instructor was clear and concise."
"Excellent course! The explanations are clear, and the real-world examples make it easy to grasp complex concepts."
"The instructor's teaching style is very engaging."
May feel basic or too fast in parts for experienced or absolute beginners.
"For someone with prior BigQuery experience, it felt a bit too basic in places. I was hoping for more advanced optimization techniques."
"I struggled with the pace; it was too fast in some areas, especially for someone new to cloud data platforms."
"Some topics could be expanded upon for advanced users, but overall, it's a great starting point."

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:
Organize and review class materials
Improve retention and understanding by reviewing and organizing course content.
Show steps
  • Organize notes, assignments, and quizzes
  • Review key concepts and highlight important sections
  • Create summaries or mind maps to consolidate learning
Review 'BigQuery: The Definitive Guide' by Valliappa Lakshmanan
Expand knowledge of BigQuery's architecture and best practices.
View Data Science on the Google Cloud Platform on Amazon
Show steps
  • Read selected chapters relevant to course topics
Review Intermediate SQL concepts
Review fundamental SQL syntax and concepts to ensure foundational understanding.
Browse courses on SQL
Show steps
  • Review SELECT, FROM, WHERE, GROUP BY, ORDER BY clauses
  • Practice writing SQL queries using a SQL sandbox or online tutorials
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete Google Cloud's BigQuery tutorial
Follow Google Cloud's structured tutorial to get hands-on experience with BigQuery.
Browse courses on BigQuery
Show steps
  • Set up a Google Cloud account and create a BigQuery project
  • Load and query sample datasets
  • Use BigQuery's built-in functions and operators
Participate in a BigQuery study group
Engage in discussions and share knowledge with peers to enhance understanding.
Browse courses on BigQuery
Show steps
  • Join or create a study group with other course participants
  • Discuss course concepts and work on problems together
  • Share insights and experiences
Solve data analysis problems using BigQuery
Apply BigQuery concepts to solve real-world data analysis problems.
Browse courses on BigQuery
Show steps
  • Identify a dataset or problem that can be solved using BigQuery
  • Design and execute SQL queries to extract insights
  • Interpret and present results in a clear and concise manner
Build an interactive dashboard using BigQuery and a data visualization tool
Combine BigQuery data with data visualization techniques to create meaningful insights.
Browse courses on BigQuery
Show steps
  • Choose a relevant dataset and visualize key metrics
  • Design an interactive dashboard using a data visualization tool
  • Publish and share the dashboard for stakeholder consumption
  • Reflect on the effectiveness of the dashboard and make improvements
Contribute to open-source BigQuery projects
Gain practical experience and contribute to the BigQuery community.
Browse courses on BigQuery
Show steps
  • Identify open-source BigQuery projects to contribute to
  • Propose and implement improvements or new features
  • Receive feedback and collaborate with the project maintainers

Career center

Learners who complete BigQuery for Data Analysts will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts play a crucial role in extracting insights from data to drive informed decision-making. This course, "BigQuery for Data Analysts," is an excellent resource for aspiring Data Analysts, providing them with the skills to harness the power of BigQuery for data ingestion, transformation, and querying. By mastering the techniques taught in this course, you'll be well-equipped to excel in the dynamic field of data analysis, enabling you to uncover valuable insights and contribute to data-driven decision-making.
See salaries and explore the career path for Data Analyst
Data Engineer
Data Engineers design and manage data pipelines, ensuring the availability, reliability, and quality of data for analysis. This course, "BigQuery for Data Analysts," can provide Data Engineers with a strong foundation in BigQuery, a powerful cloud-based data warehouse. By understanding how to use BigQuery for data ingestion, transformation, and querying, Data Engineers can improve the efficiency and scalability of data pipelines, enabling them to deliver high-quality data for data analysis and decision-making.
See salaries and explore the career path for Data Engineer
Data Scientist
Data Scientists leverage data to build predictive models and uncover complex patterns. This course, "BigQuery for Data Analysts," can be a valuable resource for aspiring Data Scientists, providing them with hands-on experience in using BigQuery for data exploration, preparation, and analysis. By mastering the techniques taught in this course, you'll gain a solid foundation in BigQuery, enabling you to extract meaningful insights from large and complex datasets, supporting data-driven decision-making and innovation.
See salaries and explore the career path for Data Scientist
Business Analyst
Business Analysts bridge the gap between technical and business domains, using data to solve business problems. This course, "BigQuery for Data Analysts," can be a valuable asset for Business Analysts, providing them with the skills to leverage BigQuery for data analysis and decision-making. By mastering the techniques taught in this course, you'll be able to effectively analyze data, identify trends, and uncover insights that drive informed business decisions.
See salaries and explore the career path for Business Analyst
Data Architect
Data Architects design and implement data management solutions, ensuring the integrity and security of data assets. This course, "BigQuery for Data Analysts," can provide Data Architects with a strong foundation in BigQuery, a highly scalable and cost-effective data warehouse. By understanding how to use BigQuery for data ingestion, transformation, and querying, Data Architects can design and implement data management solutions that meet the evolving needs of organizations.
See salaries and explore the career path for Data Architect
Database Administrator
Database Administrators manage and maintain databases, ensuring their performance and availability. This course, "BigQuery for Data Analysts," can provide Database Administrators with a strong understanding of BigQuery, a fully managed, highly scalable cloud-based data warehouse. By mastering the techniques taught in this course, you'll gain the skills to effectively manage and maintain BigQuery databases, ensuring the reliable and efficient storage and retrieval of data for data analysis and decision-making.
See salaries and explore the career path for Database Administrator
Software Engineer
Software Engineers design, develop, and maintain software applications. This course, "BigQuery for Data Analysts," can provide Software Engineers with a strong foundation in BigQuery, a powerful data analysis platform. By understanding how to use BigQuery for data ingestion, transformation, and querying, Software Engineers can build data-driven applications that leverage the power of Big Data to solve complex business problems.
See salaries and explore the career path for Software Engineer
Product Manager
Product Managers manage the development and launch of software products. This course, "BigQuery for Data Analysts," can provide Product Managers with a strong understanding of BigQuery, a powerful data analysis platform. By mastering the techniques taught in this course, you'll gain the skills to effectively analyze data, identify customer needs, and drive product development decisions based on data-driven insights.
See salaries and explore the career path for Product Manager
Marketing Analyst
Marketing Analysts analyze market trends and customer behavior to develop and execute marketing campaigns. This course, "BigQuery for Data Analysts," can provide Marketing Analysts with a strong foundation in BigQuery, a powerful data analysis platform. By understanding how to use BigQuery for data ingestion, transformation, and querying, Marketing Analysts can gain valuable insights into customer behavior, market trends, and campaign effectiveness, enabling them to optimize marketing strategies and improve campaign performance.
See salaries and explore the career path for Marketing Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations and evaluate the financial health of companies. This course, "BigQuery for Data Analysts," can provide Financial Analysts with a strong foundation in BigQuery, a powerful data analysis platform. By mastering the techniques taught in this course, you'll gain the skills to effectively analyze financial data, identify investment opportunities, and make sound investment decisions based on data-driven insights.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex problems in various industries. This course, "BigQuery for Data Analysts," can provide Operations Research Analysts with a strong foundation in BigQuery, a powerful data analysis platform. By understanding how to use BigQuery for data ingestion, transformation, and querying, Operations Research Analysts can gain valuable insights into operational data, identify inefficiencies, and develop data-driven solutions to improve operational performance.
See salaries and explore the career path for Operations Research Analyst
Quantitative Analyst
Quantitative Analysts develop and implement mathematical models to analyze financial data and make investment decisions. This course, "BigQuery for Data Analysts," can provide Quantitative Analysts with a strong foundation in BigQuery, a powerful data analysis platform. By mastering the techniques taught in this course, you'll gain the skills to effectively analyze financial data, develop predictive models, and make data-driven investment decisions.
See salaries and explore the career path for Quantitative Analyst
Statistician
Statisticians collect, analyze, and interpret data to provide insights and make predictions. This course, "BigQuery for Data Analysts," can provide Statisticians with a strong foundation in BigQuery, a powerful data analysis platform. By understanding how to use BigQuery for data ingestion, transformation, and querying, Statisticians can gain valuable insights into large and complex datasets, identify trends, and make data-driven predictions.
See salaries and explore the career path for Statistician
Data Manager
Data Managers oversee the management and governance of data assets within an organization. This course, "BigQuery for Data Analysts," can provide Data Managers with a strong foundation in BigQuery, a powerful data analysis platform. By understanding how to use BigQuery for data ingestion, transformation, and querying, Data Managers can effectively manage and govern data assets, ensuring their quality, security, and compliance with organizational policies and regulations.
See salaries and explore the career path for Data Manager
Business Intelligence Analyst
Business Intelligence Analysts provide insights and recommendations to businesses based on data analysis. This course, "BigQuery for Data Analysts," can be a valuable resource for Business Intelligence Analysts, providing them with the skills to leverage BigQuery for data analysis and decision-making. By mastering the techniques taught in this course, you'll be able to effectively analyze data, identify trends, and uncover insights that drive informed business decisions.
See salaries and explore the career path for Business Intelligence Analyst

Reading list

We've selected four 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.
Cover image
Data Science on the Google Cloud Platform
Save
Provides a comprehensive reference for BigQuery. It good resource for anyone who wants to learn more about the細かい of BigQuery and how to use it effectively.
Data Science on the Google Cloud Platform:...
Paperback
$$
Data Science on the Google Cloud Platform
Kindle Edition
$$$
Cover image
Architecting Data and Machine Learning Platforms
Save
Provides a comprehensive reference for BigQuery Standard SQL. It good resource for anyone who wants to learn more about the syntax and semantics of BigQuery Standard SQL.
Architecting Data and Machine Learning Platforms:...
Paperback
$$
Architecting Data and Machine Learning Platforms
Kindle Edition
$$
Cover image
Google BigQuery: The Definitive Guide
Save
Provides a comprehensive reference for tuning the performance of BigQuery queries. It good resource for anyone who wants to learn more about how to optimize the performance of their BigQuery queries.
Google BigQuery: The Definitive Guide: Data...
Paperback
$$
Google BigQuery: The Definitive Guide: Data...
Kindle Edition
$$
Cover image
Data Governance: The Definitive Guide
Save
Provides a comprehensive reference for securing BigQuery data and resources. It good resource for anyone who wants to learn more about how to protect their BigQuery data and resources from unauthorized access.
Data Governance: The Definitive Guide: People,...
Paperback
$$
Data Governance: The Definitive Guide: People,...
Kindle Edition
$$

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Course image
Time
152 hours
Level
Intermediate
Via
Pluralsight
Instructor
Google Cloud
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Taught by Google Cloud, recognized for their work in developing the course's subject matter
Examines BigQuery, which is highly relevant to data analysts
Develops skills in ingesting, transforming, and querying data in BigQuery, which are core to data analysis
Provides multiple learning formats, including videos, labs, and demos, to enhance engagement
Covers the basics of BigQuery for beginners, providing a foundation for further learning
Requires familiarity with data analysis concepts, which may be a barrier for absolute beginners
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