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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create datasets and tables, import data from billing reports, and conduct a variety of queries on the data using BigQuery.
Register for this course and see more details by visiting:
OpenCourser.com/course/h2osyq/analyzing
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What's inside
Syllabus
Analyzing Billing Data with BigQuery
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches essential BigQuery skills for working with billing data
Save this course
Save Analyzing Billing Data with BigQuery 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 Analyzing Billing Data with BigQuery with these
activities:
Participate in a study group
Show steps
Engage with peers to discuss course concepts, share insights, and reinforce your learning.
Show steps
-
Find or form a study group with other course participants
-
Meet regularly to discuss lecture material, assignments, and projects
-
Collaborate on solving problems and answering questions
Network with BigQuery professionals
Show steps
Connect with professionals in the field to learn about industry trends and career opportunities.
Show steps
-
Attend industry events and meetups focused on BigQuery
-
Join online communities and forums related to BigQuery
-
Reach out to BigQuery professionals on LinkedIn or other networking platforms
Practice SQL queries
Show steps
Refresh your proficiency with SQL queries to enhance your foundation for BigQuery.
Browse courses on
SQL
Show steps
-
Review basic SQL syntax and commands
-
Execute queries on sample datasets
-
Write and run queries to extract and analyze data
Five other activities
Expand to see all activities and additional details
Show all eight activities
Analyze billing reports with BigQuery
Show steps
Enhance your hands-on experience with BigQuery by analyzing billing reports.
Show steps
-
Import billing report data into BigQuery
-
Write and execute queries to explore the data
-
Generate insights from the analysis
Explore additional BigQuery features
Show steps
Expand your understanding of BigQuery by exploring additional features.
Show steps
-
Review documentation on advanced BigQuery capabilities
-
Follow tutorials to learn about specific features
-
Experiment with these features in the BigQuery console
Attend a BigQuery workshop
Show steps
Gain practical experience and insights by attending a BigQuery workshop.
Show steps
-
Research and identify relevant BigQuery workshops
-
Register and attend the workshop
-
Participate actively in hands-on exercises and discussions
Create a data visualization dashboard
Show steps
Showcase your understanding of BigQuery by creating a data visualization dashboard.
Show steps
-
Design the dashboard layout and visualizations
-
Extract relevant data from BigQuery
-
Use a data visualization tool to create interactive charts and graphs
-
Publish and share the dashboard
Contribute to an open-source BigQuery project
Show steps
Enhance your understanding of BigQuery architecture and practices by contributing to an open-source project.
Show steps
-
Identify open-source BigQuery projects that align with your interests
-
Review the project documentation and codebase
-
Make code contributions, such as adding new features or fixing bugs
Participate in a study group
Show steps
Engage with peers to discuss course concepts, share insights, and reinforce your learning.
Show steps
Show steps
Show steps
- Find or form a study group with other course participants
- Meet regularly to discuss lecture material, assignments, and projects
- Collaborate on solving problems and answering questions
Network with BigQuery professionals
Show steps
Connect with professionals in the field to learn about industry trends and career opportunities.
Show steps
Show steps
Show steps
- Attend industry events and meetups focused on BigQuery
- Join online communities and forums related to BigQuery
- Reach out to BigQuery professionals on LinkedIn or other networking platforms
Practice SQL queries
Show steps
Refresh your proficiency with SQL queries to enhance your foundation for BigQuery.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review basic SQL syntax and commands
- Execute queries on sample datasets
- Write and run queries to extract and analyze data
Five other activities
Expand to see all activities and additional details
Show all eight activities
Analyze billing reports with BigQuery
Show steps
Enhance your hands-on experience with BigQuery by analyzing billing reports.
Show steps
Show steps
Show steps
- Import billing report data into BigQuery
- Write and execute queries to explore the data
- Generate insights from the analysis
Explore additional BigQuery features
Show steps
Expand your understanding of BigQuery by exploring additional features.
Show steps
Show steps
Show steps
- Review documentation on advanced BigQuery capabilities
- Follow tutorials to learn about specific features
- Experiment with these features in the BigQuery console
Attend a BigQuery workshop
Show steps
Gain practical experience and insights by attending a BigQuery workshop.
Show steps
Show steps
Show steps
- Research and identify relevant BigQuery workshops
- Register and attend the workshop
- Participate actively in hands-on exercises and discussions
Create a data visualization dashboard
Show steps
Showcase your understanding of BigQuery by creating a data visualization dashboard.
Show steps
Show steps
Show steps
- Design the dashboard layout and visualizations
- Extract relevant data from BigQuery
- Use a data visualization tool to create interactive charts and graphs
- Publish and share the dashboard
Contribute to an open-source BigQuery project
Show steps
Enhance your understanding of BigQuery architecture and practices by contributing to an open-source project.
Show steps
Show steps
Show steps
- Identify open-source BigQuery projects that align with your interests
- Review the project documentation and codebase
- Make code contributions, such as adding new features or fixing bugs
Career center
Learners who complete Analyzing Billing Data with BigQuery will develop knowledge and skills
that may be useful to these careers:
Financial Analyst
Financial Analyst
Financial Analysts use financial data to assess the performance of companies and make investment recommendations. The Analyzing Billing Data with BigQuery course can be a valuable resource for aspiring Financial Analysts, as it provides hands-on experience in working with financial data and conducting analytical queries using BigQuery. The skills and knowledge gained from this course can help individuals build a strong foundation for a successful career in financial analysis.
Business Analyst
Business Analyst
Business Analysts work with businesses to identify and analyze their needs, and develop solutions to improve performance. The Analyzing Billing Data with BigQuery course can be helpful for Business Analysts, as it provides them with the skills needed to analyze financial data and make data-driven recommendations. The understanding of BigQuery and its capabilities gained from this course can be particularly valuable for Business Analysts working in the finance industry.
Financial Controller
Financial Controller
Financial Controllers are responsible for the financial reporting and accounting of a company. The Analyzing Billing Data with BigQuery course can be helpful for Financial Controllers, as it provides hands-on experience in working with financial data and conducting analytical queries using BigQuery. The understanding of BigQuery and its capabilities gained from this course can be particularly valuable for Financial Controllers working with large datasets.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure to support data analysis and reporting. The Analyzing Billing Data with BigQuery course can be helpful for Data Engineers, as it provides hands-on experience in working with BigQuery and other data engineering tools. The understanding of BigQuery's architecture and capabilities gained from this course can be particularly valuable for Data Engineers working with large datasets.
Database Administrator
Database Administrator
Database Administrators ensure the availability, performance, and security of databases. The Analyzing Billing Data with BigQuery course can be helpful for Database Administrators, as it provides hands-on experience in working with BigQuery and other database technologies. The understanding of BigQuery's architecture and capabilities gained from this course can be particularly valuable for Database Administrators working with large datasets.
Data Analyst
Data Analyst
Data Analysts provide organizations with data-driven insights to support decision-making and improve overall performance. The Analyzing Billing Data with BigQuery course can be a valuable resource for aspiring Data Analysts, as it provides hands-on experience in working with large datasets and conducting analytical queries using BigQuery. The skills and knowledge gained from this course can help individuals build a strong foundation for a successful career in data analysis.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. The Analyzing Billing Data with BigQuery course can be helpful for Cloud Architects, as it provides hands-on experience in working with BigQuery and other cloud computing services. The understanding of BigQuery's architecture and capabilities gained from this course can be particularly valuable for Cloud Architects working with large datasets.
Data Scientist
Data Scientist
Data Scientists use statistical and machine learning techniques to extract insights from data and develop predictive models. The Analyzing Billing Data with BigQuery course may be helpful for Data Scientists, as it provides hands-on experience in working with large datasets and conducting analytical queries using BigQuery. The understanding of BigQuery's capabilities and its integration with other data science tools gained from this course can be particularly valuable for Data Scientists working with financial data.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess risks to a company's business. The Analyzing Billing Data with BigQuery course may be helpful for Risk Analysts, as it provides hands-on experience in working with data to understand risk exposure and make data-driven decisions. The understanding of BigQuery and its capabilities gained from this course can be particularly valuable for Risk Analysts working with data-driven risk management strategies.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. The Analyzing Billing Data with BigQuery course may be helpful for Software Engineers, as it provides hands-on experience in working with BigQuery and other data engineering tools. The understanding of BigQuery's architecture and capabilities gained from this course can be particularly valuable for Software Engineers working with large datasets.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. The Analyzing Billing Data with BigQuery course may be helpful for Marketing Managers, as it provides hands-on experience in working with data to understand customer behavior and make data-driven decisions. The understanding of BigQuery and its capabilities gained from this course can be particularly valuable for Marketing Managers working with data-driven marketing campaigns.
Product Manager
Product Manager
Product Managers are responsible for the development and management of products. The Analyzing Billing Data with BigQuery course may be helpful for Product Managers, as it provides hands-on experience in working with data to understand customer needs and make data-driven decisions. The understanding of BigQuery and its capabilities gained from this course can be particularly valuable for Product Managers working with data-driven products.
Project Manager
Project Manager
Project Managers are responsible for the planning and execution of projects. The Analyzing Billing Data with BigQuery course may be helpful for Project Managers, as it provides hands-on experience in working with data to understand project progress and make data-driven decisions. The understanding of BigQuery and its capabilities gained from this course can be particularly valuable for Project Managers working with data-driven project management strategies.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a company. The Analyzing Billing Data with BigQuery course may be helpful for Operations Managers, as it provides hands-on experience in working with data to understand operational efficiency and make data-driven decisions. The understanding of BigQuery and its capabilities gained from this course can be particularly valuable for Operations Managers working with data-driven operations strategies.
Sales Manager
Sales Manager
Sales Managers are responsible for the sales and profitability of a company's products and services. The Analyzing Billing Data with BigQuery course may be helpful for Sales Managers, as it provides hands-on experience in working with data to understand sales trends and make data-driven decisions. The understanding of BigQuery and its capabilities gained from this course can be particularly valuable for Sales Managers working with data-driven sales strategies.
For more career information including salaries, visit:
OpenCourser.com/course/h2osyq/analyzing
Reading list
We've selected six 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
Analyzing Billing Data with BigQuery.
Provides a comprehensive overview of Google Cloud Platform (GCP) for beginners. It covers how to get started with GCP, create and manage resources, and build and deploy applications. It valuable resource for anyone who wants to learn more about GCP.
Provides a comprehensive overview of cloud computing, including how to design and implement cloud solutions. It valuable resource for anyone who wants to learn more about cloud computing.
Save
Provides a comprehensive overview of designing data-intensive applications, including how to choose the right data storage and processing technologies. It valuable resource for anyone who wants to learn more about designing data-intensive applications.
Provides a comprehensive overview of data-driven business decision making, including how to use data to make better decisions. It valuable resource for anyone who wants to learn more about data-driven business decision making.
Provides a comprehensive overview of the Lean Startup methodology, including how to build and validate products and services. It valuable resource for anyone who wants to learn more about the Lean Startup methodology.
Save
Provides a comprehensive overview of how to get customers for your startup, including how to develop a marketing strategy and build a sales pipeline. It valuable resource for anyone who wants to learn more about getting customers for their startup.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/h2osyq/analyzing
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