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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 use BigQuery to troubleshoot common SQL errors, query the data-to-insights public dataset, use the Query Validator, and troubleshoot syntax and logical SQL errors.
Register for this course and see more details by visiting:
OpenCourser.com/course/jfuv4k/troubleshooting
What's inside
Syllabus
Troubleshooting Common SQL Errors with BigQuery
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides hands-on experience through labs
Builds foundational skills for SQL troubleshooting
Suitable for students with basic SQL knowledge
Facilitates data analysis and troubleshooting using BigQuery
Taught by Google Cloud Training experts
Utilizes industry-standard tools and technologies
Save this course
Save Troubleshooting Common SQL Errors 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 Troubleshooting Common SQL Errors with BigQuery with these
activities:
Review BigQuery documentation
Show steps
Revisiting the BigQuery documentation can refresh your memory on key concepts and provide additional learning resources.
Browse courses on
Data Analytics
Show steps
-
Access the BigQuery documentation website
-
Review specific sections relevant to the course topics
Review SQL basics
Show steps
Brushing up on your SQL basics can help you grasp core concepts and set a foundation for the course.
Browse courses on
SQL
Show steps
-
Review SQL syntax and commands
-
Practice writing simple SQL queries
-
Test your understanding with online quizzes or exercises
Connect with experienced SQL developers
Show steps
Finding experienced SQL developers to guide you can provide valuable insights and support throughout your learning journey.
Browse courses on
Mentoring
Show steps
-
Attend industry events or online forums to network with professionals
-
Reach out to individuals on LinkedIn or other professional platforms
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore BigQuery tutorials
Show steps
Following guided tutorials can enhance your understanding of BigQuery's functionalities and capabilities.
Browse courses on
BigQuery
Show steps
-
Find tutorials on the official BigQuery documentation or online platforms
-
Work through the tutorials step-by-step
Solve SQL error challenges
Show steps
Solving error challenges helps improve your ability to troubleshoot and resolve common SQL issues during data analysis.
Browse courses on
Data Analysis
Show steps
-
Find online resources or practice platforms that offer SQL error challenges
-
Attempt to resolve the errors and analyze their causes
Practice writing complex SQL queries
Show steps
Practicing complex SQL queries improves your ability to extract insights and transform data effectively.
Browse courses on
SQL Queries
Show steps
-
Identify datasets and define your desired outputs
-
Write and execute SQL queries to retrieve and manipulate data
-
Validate and refine your queries to optimize performance
Develop a BigQuery dashboard for data visualization
Show steps
Creating a BigQuery dashboard allows you to visualize and interact with your data, making it easier to derive insights.
Browse courses on
Data Visualization
Show steps
-
Select relevant metrics and dimensions
-
Design and create your dashboard using BigQuery's visualization tools
-
Share and collaborate on your dashboard with others
Build a data analysis project using BigQuery
Show steps
Working on a data analysis project helps you apply your skills, solve real-world problems, and build a portfolio.
Browse courses on
Data Visualization
Show steps
-
Define the project scope and objectives
-
Gather and prepare the data
-
Write and execute SQL queries to analyze the data
-
Visualize and interpret the results
-
Document your findings and insights
Review BigQuery documentation
Show steps
Revisiting the BigQuery documentation can refresh your memory on key concepts and provide additional learning resources.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Access the BigQuery documentation website
- Review specific sections relevant to the course topics
Review SQL basics
Show steps
Brushing up on your SQL basics can help you grasp core concepts and set a foundation for the course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review SQL syntax and commands
- Practice writing simple SQL queries
- Test your understanding with online quizzes or exercises
Connect with experienced SQL developers
Show steps
Finding experienced SQL developers to guide you can provide valuable insights and support throughout your learning journey.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Attend industry events or online forums to network with professionals
- Reach out to individuals on LinkedIn or other professional platforms
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore BigQuery tutorials
Show steps
Following guided tutorials can enhance your understanding of BigQuery's functionalities and capabilities.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Find tutorials on the official BigQuery documentation or online platforms
- Work through the tutorials step-by-step
Solve SQL error challenges
Show steps
Solving error challenges helps improve your ability to troubleshoot and resolve common SQL issues during data analysis.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find online resources or practice platforms that offer SQL error challenges
- Attempt to resolve the errors and analyze their causes
Practice writing complex SQL queries
Show steps
Practicing complex SQL queries improves your ability to extract insights and transform data effectively.
Browse courses on
SQL Queries
Show steps
Show steps
Show steps
- Identify datasets and define your desired outputs
- Write and execute SQL queries to retrieve and manipulate data
- Validate and refine your queries to optimize performance
Develop a BigQuery dashboard for data visualization
Show steps
Creating a BigQuery dashboard allows you to visualize and interact with your data, making it easier to derive insights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Select relevant metrics and dimensions
- Design and create your dashboard using BigQuery's visualization tools
- Share and collaborate on your dashboard with others
Build a data analysis project using BigQuery
Show steps
Working on a data analysis project helps you apply your skills, solve real-world problems, and build a portfolio.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Define the project scope and objectives
- Gather and prepare the data
- Write and execute SQL queries to analyze the data
- Visualize and interpret the results
- Document your findings and insights
Career center
Learners who complete Troubleshooting Common SQL Errors with BigQuery will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
A Data Architect designs and manages the architecture of data systems. This course may be useful in helping build a foundation in using SQL to design and implement data solutions. Data Architects use SQL to create, modify, and administer databases and data warehouses. This course can help you develop the skills needed to succeed as a Data Architect.
Data Governance Specialist
Data Governance Specialist
A Data Governance Specialist develops and implements policies and procedures to ensure the quality and security of data. This course may be useful in helping build a foundation in using SQL to manage and monitor data. Data Governance Specialists use SQL to query data, create reports, and develop data quality metrics. This course can help you develop the skills needed to succeed as a Data Governance Specialist.
Data Engineer
Data Engineer
A Data Engineer builds, maintains, and manages data pipelines and systems to support data-driven decision-making. This course may help build a foundation in SQL and data management techniques that are essential for Data Engineers. Troubleshooting SQL errors is a key skill for Data Engineers who work with large datasets and complex data pipelines. This course can help you develop the skills needed to succeed as a Data Engineer.
Database Administrator
Database Administrator
A Database Administrator maintains and manages databases to ensure their availability, performance, and security. This course may be useful in helping build a foundation in troubleshooting SQL errors and managing data in BigQuery. Database Administrators use SQL to create, modify, and administer databases. This course can help you develop the skills needed to succeed as a Database Administrator.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical techniques to solve business problems and improve operational efficiency. This course may be useful in helping build a foundation in using SQL to analyze data and develop optimization models. Operations Research Analysts use SQL to query data, create reports, and develop mathematical models. This course can help you develop the skills needed to succeed as an Operations Research Analyst.
Marketing Analyst
Marketing Analyst
A Marketing Analyst analyzes marketing data to improve marketing campaigns and strategies. This course may be useful in helping build a foundation in using SQL to extract insights from data. Marketing Analysts use SQL to query data, create reports, and develop data visualizations. This course can help you develop the skills needed to succeed as a Marketing Analyst.
Data Analyst
Data Analyst
A Data Analyst investigates data using statistical techniques to uncover trends, patterns, and relationships. This course may be useful in helping build a foundation in working with structured data sources such as BigQuery. Data Analysts use SQL to access, clean, and manipulate data for analysis. This course can help you develop the skills needed to succeed as a Data Analyst.
Data Scientist
Data Scientist
A Data Scientist uses statistical and machine learning techniques to build predictive models and solve business problems. This course may be useful in helping build a foundation in using SQL to access and manipulate data for analysis. Data Scientists use SQL to explore data, prepare data for modeling, and evaluate model results. This course can help you develop the skills needed to succeed as a Data Scientist.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems to improve performance and efficiency. This course may be useful in helping build a foundation in using SQL to extract insights from data. Business Analysts use SQL to query data, create reports, and develop data visualizations. This course can help you develop the skills needed to succeed as a Business Analyst.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to make informed decisions. This course may be useful in helping build a foundation in using SQL to access and manipulate data for analysis. Statisticians use SQL to query data, create reports, and develop statistical models. This course can help you develop the skills needed to succeed as a Statistician.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations and advise clients. This course may be useful in helping build a foundation in using SQL to analyze financial data. Financial Analysts use SQL to query data, create reports, and develop financial models. This course can help you develop the skills needed to succeed as a Financial Analyst.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst helps businesses make better decisions by analyzing data and identifying trends. This course may be useful in helping build a foundation in using SQL to extract insights from data. Business Intelligence Analysts use SQL to query data, create reports, and develop data visualizations. This course can help you develop the skills needed to succeed as a Business Intelligence Analyst.
Management Consultant
Management Consultant
A Management Consultant advises businesses on how to improve their performance and achieve their goals. This course may be useful in helping build a foundation in using SQL to analyze data and develop recommendations. Management Consultants use SQL to query data, create reports, and develop data visualizations. This course can help you develop the skills needed to succeed as a Management Consultant.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful in helping build a foundation in using SQL to interact with databases and manage data. Software Engineers use SQL to store, retrieve, and manipulate data in software applications. This course can help you develop the skills needed to succeed as a Software Engineer.
Product Manager
Product Manager
A Product Manager manages the development and launch of products. This course may be useful in helping build a foundation in understanding the role of data in product development. Product Managers use SQL to analyze data and make decisions about product features and functionality. This course can help you develop the skills needed to succeed as a Product Manager.
For more career information including salaries, visit:
OpenCourser.com/course/jfuv4k/troubleshooting
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
Troubleshooting Common SQL Errors with BigQuery.
This comprehensive reference covers all aspects of BigQuery, including syntax, functions, operators, and best practices. It's a valuable resource for experienced BigQuery users.
Save
Provides a strong foundation in SQL, covering essential concepts and techniques used in data analysis, including working with BigQuery.
This practical guide provides step-by-step instructions for using BigQuery for data analysis tasks, including data loading, transformation, and visualization.
Highlights common pitfalls and antipatterns in SQL coding, providing guidance on how to avoid them and write efficient and maintainable queries.
This introductory book provides a solid foundation in SQL concepts and syntax, making it a good starting point for learners who are new to SQL or need a refresher.
This engaging and visually appealing book teaches SQL concepts through interactive exercises and puzzles, making it suitable for beginners and those who prefer a less traditional approach.
Save
Offers a quick overview of SQL fundamentals, making it a suitable reference for beginners who need a refresher on basic concepts.
Offers a comprehensive overview of big data analytics, covering the entire data analytics lifecycle, including data collection, storage, processing, and analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jfuv4k/troubleshooting
Share
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Effort
50 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Provides hands-on experience through labs
Builds foundational skills for SQL troubleshooting
Suitable for students with basic SQL knowledge
Facilitates data analysis and troubleshooting using BigQuery
Taught by Google Cloud Training experts
Utilizes industry-standard tools and technologies
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