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Exploring Your Ecommerce Dataset with SQL in Google BigQuery
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.
Register for this course and see more details by visiting:
OpenCourser.com/course/0xnlev/exploring
What's inside
Syllabus
Exploring Your Ecommerce Dataset with SQL in Google BigQuery
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Emphasizes application of SQL for data insights in the context of ecommerce
Conducted in a hands-on lab environment, providing practical experience in BigQuery
Taught by Google Cloud Training, recognized experts in cloud computing
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Activities
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We're preparing activities for
Exploring Your Ecommerce Dataset with SQL in Google BigQuery.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Exploring Your Ecommerce Dataset with SQL in Google BigQuery will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists are responsible for using data to solve business problems. They use a variety of techniques to identify patterns and trends in data, and they develop models to predict future outcomes. Google BigQuery is a powerful tool for data exploration and analysis, making it an essential tool for Data Scientists. The skills you will learn in this course will help you to become a more effective Data Scientist.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting data from various sources and using that data to support decision-making throughout an organization. Google BigQuery is a powerful tool for working with data from many sources, and it is well-suited for tasks such as data exploration and analysis. The skills you will learn in this course will be invaluable for Data Analysts.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. These pipelines are essential for ensuring that data is available to the people who need it in a timely and reliable manner. Google BigQuery is a powerful tool for building data pipelines. This course will provide you with the skills you need to use Google BigQuery to build data pipelines that meet the needs of your organization.
Big Data Architect
Big Data Architect
A Big Data Architect helps create and maintain data solutions. Their primary concern is managing massive datasets. As such, they rely on programs like Google BigQuery and other SQL technologies. This course provides the foundation needed to query data with Google BigQuery, a useful skill for working with big data.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. They are often employed by financial institutions to help make investment decisions. Google BigQuery is a powerful tool for working with large datasets, and it is well-suited for tasks such as financial modeling and forecasting. The skills you will learn in this course will be invaluable for Quantitative Analysts.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They use a variety of programming languages and tools to create software that meets the needs of users. Google BigQuery is a powerful tool for working with data, and it can be used to create a variety of data-driven applications. The skills you will learn in this course will be helpful for Software Engineers who want to develop data-driven applications.
Business Analyst
Business Analyst
Business Analysts help businesses make better decisions by providing data-driven insights. They use a variety of tools and techniques to analyze data and identify trends and patterns. Google BigQuery is a powerful tool for working with data, and it can be used to generate valuable insights for businesses. The skills you will learn in this course will be helpful for Business Analysts who want to use data to improve decision-making.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They ensure that databases are available, reliable, and secure. Google BigQuery is a powerful tool for working with data, and it requires specialized knowledge to manage and maintain. The skills you will learn in this course will be helpful for Database Administrators who want to manage and maintain Google BigQuery databases.
Budget Analyst
Budget Analyst
Budget Analysts use data to create and manage budgets for organizations. They use a variety of tools and techniques to analyze data, including Google BigQuery. The skills you will learn in this course will be helpful for Budget Analysts who want to use data to create and manage more effective budgets.
Financial Analyst
Financial Analyst
Financial Analysts use data to make recommendations about investments and financial decisions. They use a variety of tools and techniques to analyze data, including Google BigQuery. The skills you will learn in this course will be helpful for Financial Analysts who want to use data to make better investment decisions.
Market Researcher
Market Researcher
Market Researchers study markets and consumer behavior to help businesses make informed decisions. They use a variety of tools and techniques to collect and analyze data, including Google BigQuery. The skills you will learn in this course will be helpful for Market Researchers who want to use data to better understand markets and consumer behavior.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts help organizations manage and protect their data. They develop and implement policies and procedures to ensure that data is used in a responsible and ethical manner. Google BigQuery is a powerful tool for working with data, and it can be used to help organizations manage and protect their data. The skills you will learn in this course will be helpful for Data Governance Analysts who want to use data to improve data governance.
Compliance Analyst
Compliance Analyst
Compliance Analysts help organizations comply with applicable laws and regulations. They develop and implement policies and procedures to ensure that the organization is operating in a compliant manner. Google BigQuery is a powerful tool for working with data, and it can be used to help organizations comply with applicable laws and regulations. The skills you will learn in this course will be helpful for Compliance Analysts who want to use data to improve compliance.
Privacy Analyst
Privacy Analyst
Privacy Analysts help organizations protect the privacy of their customers and employees. They develop and implement policies and procedures to ensure that data is collected, used, and disclosed in a manner that complies with applicable laws and regulations. Google BigQuery is a powerful tool for working with data, and it can be used to help organizations protect the privacy of their data. The skills you will learn in this course will be helpful for Privacy Analysts who want to use data to improve privacy.
Information Security Analyst
Information Security Analyst
Information Security Analysts help organizations protect their data from unauthorized access, use, disclosure, disruption, modification, or destruction. They use a variety of tools and techniques to identify and mitigate security risks, including Google BigQuery. The skills you will learn in this course will be helpful for Information Security Analysts who want to use data to improve information security.
For more career information including salaries, visit:
OpenCourser.com/course/0xnlev/exploring
Reading list
We've selected seven 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
Exploring Your Ecommerce Dataset with SQL in Google BigQuery.
Provides a comprehensive overview of machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone who wants to learn more about machine learning and how to use it to solve real-world problems.
Provides a comprehensive overview of statistical learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone who wants to learn more about statistical learning and how to use it to solve real-world problems.
Provides a comprehensive overview of pattern recognition and machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone who wants to learn more about pattern recognition and machine learning and how to use it to solve real-world problems.
Provides a comprehensive overview of reinforcement learning. It covers a wide range of topics, including Markov decision processes, value functions, and reinforcement learning algorithms. It valuable resource for anyone who wants to learn more about reinforcement learning and how to use it to solve real-world problems.
Save
Provides a comprehensive overview of deep learning. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone who wants to learn more about deep learning and how to use it to solve real-world problems.
Provides a fun and engaging introduction to SQL. It uses a unique and visual approach to teaching the language, making it easier for beginners to understand the concepts and apply them to real-world problems.
Save
A quick and easy introduction to SQL, this book provides a concise overview of the language's core concepts and syntax. It valuable resource for anyone who wants to learn the basics of SQL quickly and easily.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0xnlev/exploring
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Effort
30 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Emphasizes application of SQL for data insights in the context of ecommerce
Conducted in a hands-on lab environment, providing practical experience in BigQuery
Taught by Google Cloud Training, recognized experts in cloud computing
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