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Google Cloud Training
This is a Google Cloud Self-Paced Lab. Use Google Sheets data connector to harness the power of BigQuery. The Sheets data connector lets you access and use data analytic functions to run queries and analyze data. You could create a Sheet to access and analyze your sales data, for example, then configure your Sheet to always reflect current data.
Register for this course and see more details by visiting:
OpenCourser.com/course/x8bngx/examining
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What's inside
Syllabus
Examining BigQuery Billing Data in Google Sheets
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Focuses on BigQuery, which is a core service within Google Cloud
Designed for learners who have intermediate-level knowledge in Google Sheets
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Save Examining BigQuery Billing Data in Google Sheets to your list so you can find it easily later:
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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 Examining BigQuery Billing Data in Google Sheets with these
activities:
Review Google BigQuery Basics
Show steps
Solidify foundational understanding of BigQuery's core concepts and capabilities.
Browse courses on
BigQuery
Show steps
-
Review documentation or tutorials on BigQuery's architecture, data storage, and query language.
-
Practice creating and querying datasets, tables, and views using the BigQuery console.
Explore BigQuery Data Connector
Show steps
Gain practical experience using the BigQuery Sheets connector for data analysis and visualization.
Browse courses on
Google Sheets
Show steps
-
Follow tutorials on connecting Google Sheets to BigQuery.
-
Practice importing data from Sheets into BigQuery and creating queries.
-
Experiment with different visualization options to present data insights.
Practice BigQuery Queries
Show steps
Sharpen proficiency in writing efficient and optimized BigQuery queries.
Show steps
-
Solve practice problems or complete SQL challenges involving BigQuery queries.
-
Analyze query performance and identify areas for improvement.
-
Experiment with different query techniques and syntax to enhance efficiency.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend BigQuery Community Workshops
Show steps
Engage with BigQuery experts and practitioners to expand knowledge and connect with professionals in the field.
Browse courses on
Networking
Show steps
-
Locate and register for BigQuery workshops or meetups.
-
Attend the workshops and actively participate in discussions and demos.
-
Network with other attendees, exchange ideas, and learn about industry best practices.
Create a Data Visualization Dashboard
Show steps
Apply BigQuery knowledge to create an interactive dashboard for data analysis and presentation.
Browse courses on
Data Visualization
Show steps
-
Identify a business question or problem that can be addressed with data visualization.
-
Design and develop a dashboard using BigQuery data and visualization tools.
-
Share the dashboard and present insights gained from the data analysis.
Contribute to the BigQuery Community
Show steps
Give back to the BigQuery community by contributing to open-source projects or documentation.
Browse courses on
Open Source
Show steps
-
Identify opportunities to contribute to BigQuery-related open-source projects.
-
Review code, provide feedback, and submit pull requests.
-
Create or improve documentation for BigQuery features or tools.
-
Engage with the BigQuery community through forums or social media.
Participate in BigQuery Data Challenges
Show steps
Test skills and collaborate with others to solve real-world data problems using BigQuery.
Browse courses on
Problem Solving
Show steps
-
Identify and register for BigQuery-related data challenges or competitions.
-
Form a team or work individually to solve the challenge.
-
Utilize BigQuery for data analysis, visualization, and modeling.
-
Submit a solution and compete for recognition or prizes.
Mentor Junior Data Analysts
Show steps
Enhance BigQuery expertise by guiding and supporting aspiring data analysts.
Browse courses on
Mentoring
Show steps
-
Connect with junior analysts or students interested in BigQuery.
-
Share knowledge, provide guidance, and offer support on BigQuery concepts and practices.
-
Evaluate progress and provide feedback to help mentees grow.
-
Collaborate on projects or assignments to provide hands-on learning opportunities.
Review Google BigQuery Basics
Show steps
Solidify foundational understanding of BigQuery's core concepts and capabilities.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Review documentation or tutorials on BigQuery's architecture, data storage, and query language.
- Practice creating and querying datasets, tables, and views using the BigQuery console.
Explore BigQuery Data Connector
Show steps
Gain practical experience using the BigQuery Sheets connector for data analysis and visualization.
Browse courses on
Google Sheets
Show steps
Show steps
Show steps
- Follow tutorials on connecting Google Sheets to BigQuery.
- Practice importing data from Sheets into BigQuery and creating queries.
- Experiment with different visualization options to present data insights.
Practice BigQuery Queries
Show steps
Sharpen proficiency in writing efficient and optimized BigQuery queries.
Show steps
Show steps
Show steps
- Solve practice problems or complete SQL challenges involving BigQuery queries.
- Analyze query performance and identify areas for improvement.
- Experiment with different query techniques and syntax to enhance efficiency.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend BigQuery Community Workshops
Show steps
Engage with BigQuery experts and practitioners to expand knowledge and connect with professionals in the field.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Locate and register for BigQuery workshops or meetups.
- Attend the workshops and actively participate in discussions and demos.
- Network with other attendees, exchange ideas, and learn about industry best practices.
Create a Data Visualization Dashboard
Show steps
Apply BigQuery knowledge to create an interactive dashboard for data analysis and presentation.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a business question or problem that can be addressed with data visualization.
- Design and develop a dashboard using BigQuery data and visualization tools.
- Share the dashboard and present insights gained from the data analysis.
Contribute to the BigQuery Community
Show steps
Give back to the BigQuery community by contributing to open-source projects or documentation.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify opportunities to contribute to BigQuery-related open-source projects.
- Review code, provide feedback, and submit pull requests.
- Create or improve documentation for BigQuery features or tools.
- Engage with the BigQuery community through forums or social media.
Participate in BigQuery Data Challenges
Show steps
Test skills and collaborate with others to solve real-world data problems using BigQuery.
Browse courses on
Problem Solving
Show steps
Show steps
Show steps
- Identify and register for BigQuery-related data challenges or competitions.
- Form a team or work individually to solve the challenge.
- Utilize BigQuery for data analysis, visualization, and modeling.
- Submit a solution and compete for recognition or prizes.
Mentor Junior Data Analysts
Show steps
Enhance BigQuery expertise by guiding and supporting aspiring data analysts.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Connect with junior analysts or students interested in BigQuery.
- Share knowledge, provide guidance, and offer support on BigQuery concepts and practices.
- Evaluate progress and provide feedback to help mentees grow.
- Collaborate on projects or assignments to provide hands-on learning opportunities.
Career center
Learners who complete Examining BigQuery Billing Data in Google Sheets will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts investigate data to uncover meaningful insights, trends, and patterns. This course may be useful because it teaches how to use Google Sheets' data connector to access and analyze data from BigQuery. This can help a Data Analyst extract valuable insights from complex datasets and present them effectively.
Business Analyst
Business Analyst
Business Analysts use data analysis to identify business needs and opportunities. This course can be useful as it helps build a foundation in using Google Sheets' data connector to access and analyze data. This can help a Business Analyst make better data-driven decisions and identify new opportunities for growth.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Data Scientist build more accurate and reliable models.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Quantitative Analyst build more accurate and reliable models.
Market Research Analyst
Market Research Analyst
Market Research Analysts use data to understand market trends and consumer behavior. This course may be useful as it helps build a foundation in using Google Sheets' data connector to access and analyze data. This can help a Market Research Analyst gather and analyze data more efficiently to provide valuable insights into consumer behavior.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess potential risks. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Risk Analyst make better data-driven decisions and identify potential risks more effectively.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to evaluate and make recommendations on investments and financial plans. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Financial Analyst make better data-driven decisions and identify new opportunities for investment.
Statistician
Statistician
Statisticians use statistical methods to collect, analyze, interpret, and present data. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Statistician work with larger datasets and automate data analysis tasks.
Project Manager
Project Manager
Project Managers plan, execute, and control projects. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Project Manager track project progress and make better data-driven decisions.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Software Engineer build more robust and scalable software systems.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Database Administrator monitor and optimize database performance.
Product Manager
Product Manager
Product Managers define and manage the development of products. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Product Manager make better data-driven decisions about product development.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and databases. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Data Engineer build more efficient and scalable data pipelines.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to provide insights into business operations. This course may be useful as it teaches how to use Google Sheets' data connector to access and analyze data. This can help a Business Intelligence Analyst extract valuable insights from complex datasets and present them effectively.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts use data visualization techniques to communicate data insights. This course may be useful as it helps build a foundation in using Google Sheets' data connector to access and analyze data. This can help a Data Visualization Analyst create more effective and engaging data visualizations.
For more career information including salaries, visit:
OpenCourser.com/course/x8bngx/examining
Reading list
We've selected 13 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
Examining BigQuery Billing Data in Google Sheets.
A comprehensive guide to BigQuery, covering its architecture, features, and best practices. Useful for gaining a thorough understanding of the platform.
Provides a comprehensive overview of BigQuery, covering its architecture, data model, and query language, It valuable resource to learn about using BigQuery for data analytics and can serve as a supplement to this course.
Provides a comprehensive guide to data analysis using Google Sheets. It includes detailed coverage of data manipulation, visualization, and collaboration features, which are crucial for effectively using the Sheets data connector in BigQuery.
Provides a practical guide to data analysis using SQL and Excel, It covers data extraction, cleaning, analysis, and visualization. It provides a good foundation for understanding the principles of data analysis and can be useful for learners who are new to the field.
Covers data analysis using Python, It provides a comprehensive guide to data manipulation, visualization, and statistical modeling using the Pandas and NumPy libraries. It can be useful for learners who want to learn more about data analysis using Python.
Save
Covers data science using R, It provides a comprehensive guide to data manipulation, visualization, and statistical modeling using the tidyverse libraries. It can be useful for learners who want to learn more about data analysis using R.
Provides a comprehensive guide to Hadoop, covering its architecture, components, and ecosystem, It provides a good foundation for understanding the principles of big data processing and can be useful for learners who want to learn more about Hadoop.
Provides a comprehensive introduction to reinforcement learning, covering its theory and algorithms. It can be useful for learners who want to gain a deeper understanding of the principles of reinforcement learning and its applications.
Provides a comprehensive guide to natural language processing using Python, It covers a wide range of topics, including text preprocessing, machine learning for NLP, and deep learning for NLP. It can be useful for learners who want to gain a deeper understanding of NLP techniques and their applications.
Covers the fundamentals of deep learning using Python, It provides a practical guide to building and training deep learning models using the Keras library. It can be useful for learners who want to gain hands-on experience with deep learning.
Provides an in-depth exploration of SQL for big data analysis. It covers advanced SQL techniques and concepts that can be applied to BigQuery queries, enhancing the analytical capabilities of the Sheets data connector.
Introduces BigQuery ML, a fully managed machine learning service within BigQuery. It provides a practical guide to building and deploying machine learning models using BigQuery data.
A good primer on BigQuery if you're a beginner. Sometimes it's best to start simple and this book provides a simple introduction to BigQuery.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/x8bngx/examining
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Effort
1 Hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Focuses on BigQuery, which is a core service within Google Cloud
Designed for learners who have intermediate-level knowledge in Google Sheets
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