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Google Cloud Training
In this lab you analyze historical weather observations using BigQuery and use weather data in conjunction with other datasets. This lab is part of a series of labs on processing scientific data.
Register for this course and see more details by visiting:
OpenCourser.com/course/mijcj4/weather
What's inside
Syllabus
Weather Data in BigQuery
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Helps learners understand the relationship between weather and other datasets, which is often part of data science and data analysis
Provides hands-on experience working with large datasets in BigQuery, which is a valuable tool for data scientists and data analysts
Taught by Google Cloud Training, which has a reputation for providing high-quality training on Google Cloud products
Part of a series of labs on processing scientific data, indicating a comprehensive approach to the subject
May require some prior knowledge of BigQuery or SQL, which may not be suitable for complete beginners
Save this course
Save Weather Data in 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 Weather Data in BigQuery with these
activities:
Seek External Mentorship
Show steps
Connect with a mentor to guide you and provide additional support throughout the course and beyond.
Show steps
-
Identify potential mentors
-
Reach out and introduce yourself
-
建立定期沟通
Join a Study Group
Show steps
Review the course materials and assignments with a group of peers to enhance your understanding and retention.
Show steps
-
Find or create a study group with fellow students
-
Meet regularly to discuss the course material
-
Work together on assignments
-
Provide support and encouragement to each other
Practice SQL Queries
Show steps
Practice writing SQL queries to prepare for the assignments in this course and reinforce your overall understanding of SQL.
Show steps
-
Use an online SQL practice platform
-
Review the course materials on SQL
-
Attempt the practice problems
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore BigQuery Platform
Show steps
Review the options and features of the BigQuery Platform so that you are better prepared to complete the course assignments.
Show steps
-
Visit the BigQuery Platform website
-
Review the documentation and tutorials
Complete Practice Assignments
Show steps
Attempt the practice assignments to test your understanding of the course material and identify areas for improvement.
Show steps
-
Review the practice assignment instructions
-
Gather the necessary resources
-
Complete the practice assignments
-
Review your answers
Answer Questions in Forums
Show steps
Share your knowledge by answering questions in the course forums, which will help you review the material and reinforce your understanding.
Show steps
-
Visit the course forums
-
Identify questions that you can answer
-
Provide thoughtful and helpful responses
Create a Weather Data Dashboard
Show steps
Create a dashboard to visualize weather data to deepen your understanding of the data structures and patterns.
Show steps
-
Choose a dashboarding tool
-
Connect to the weather data source
-
Design and create the dashboard
Write a Blog Post
Show steps
Write a blog post to summarize and share your key takeaways from the course to reinforce your learning and contribute to the community.
Show steps
-
Choose a topic related to the course material
-
Research and gather information
-
Write and edit the blog post
-
Publish and promote the blog post
Seek External Mentorship
Show steps
Connect with a mentor to guide you and provide additional support throughout the course and beyond.
Show steps
Show steps
Show steps
- Identify potential mentors
- Reach out and introduce yourself
- 建立定期沟通
Join a Study Group
Show steps
Review the course materials and assignments with a group of peers to enhance your understanding and retention.
Show steps
Show steps
Show steps
- Find or create a study group with fellow students
- Meet regularly to discuss the course material
- Work together on assignments
- Provide support and encouragement to each other
Practice SQL Queries
Show steps
Practice writing SQL queries to prepare for the assignments in this course and reinforce your overall understanding of SQL.
Show steps
Show steps
Show steps
- Use an online SQL practice platform
- Review the course materials on SQL
- Attempt the practice problems
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore BigQuery Platform
Show steps
Review the options and features of the BigQuery Platform so that you are better prepared to complete the course assignments.
Show steps
Show steps
Show steps
- Visit the BigQuery Platform website
- Review the documentation and tutorials
Complete Practice Assignments
Show steps
Attempt the practice assignments to test your understanding of the course material and identify areas for improvement.
Show steps
Show steps
Show steps
- Review the practice assignment instructions
- Gather the necessary resources
- Complete the practice assignments
- Review your answers
Answer Questions in Forums
Show steps
Share your knowledge by answering questions in the course forums, which will help you review the material and reinforce your understanding.
Show steps
Show steps
Show steps
- Visit the course forums
- Identify questions that you can answer
- Provide thoughtful and helpful responses
Create a Weather Data Dashboard
Show steps
Create a dashboard to visualize weather data to deepen your understanding of the data structures and patterns.
Show steps
Show steps
Show steps
- Choose a dashboarding tool
- Connect to the weather data source
- Design and create the dashboard
Write a Blog Post
Show steps
Write a blog post to summarize and share your key takeaways from the course to reinforce your learning and contribute to the community.
Show steps
Show steps
Show steps
- Choose a topic related to the course material
- Research and gather information
- Write and edit the blog post
- Publish and promote the blog post
Career center
Learners who complete Weather Data in BigQuery will develop knowledge and skills
that may be useful to these careers:
Meteorologist
Meteorologist
Meteorologists use their knowledge of weather data and patterns to make forecasts and predictions. The Weather Data in BigQuery course can help Meteorologists enhance their data analysis skills and gain a deeper understanding of weather patterns and trends. By learning how to work with large datasets, Meteorologists can improve the accuracy of their forecasts and contribute to scientific research.
Atmospheric Scientist
Atmospheric Scientist
Atmospheric Scientists study the Earth's atmosphere and its role in the Earth's climate system. The Weather Data in BigQuery course can help Atmospheric Scientists gain a better understanding of weather patterns and their impact on the Earth's atmosphere. This course can help Atmospheric Scientists develop solutions to atmospheric problems and protect the environment.
Climate Scientist
Climate Scientist
Climate Scientists study long-term weather patterns and their impact on the environment. The Weather Data in BigQuery course provides Climate Scientists with the tools and techniques they need to analyze historical weather data and identify trends. This course can help Climate Scientists gain a better understanding of climate change and its potential impacts.
Environmental Scientist
Environmental Scientist
Environmental Scientists use their knowledge of the environment to solve problems and protect natural resources. The Weather Data in BigQuery course can help Environmental Scientists gain a better understanding of weather patterns and their impact on the environment. This course can help Environmental Scientists develop solutions to environmental problems and protect natural resources.
Cartographer
Cartographer
Cartographers create maps and other visual representations of geographic data. The Weather Data in BigQuery course can help Cartographers gain a better understanding of weather patterns and their impact on the Earth's physical features and human activities. This course can help Cartographers create more accurate and informative maps.
Hydrologist
Hydrologist
Hydrologists study the movement and distribution of water on the Earth's surface and in the atmosphere. The Weather Data in BigQuery course can help Hydrologists gain a better understanding of weather patterns and their impact on water resources. This course can help Hydrologists develop solutions to water-related problems and protect water resources.
Geologist
Geologist
Geologists study the Earth's physical features and history. The Weather Data in BigQuery course can help Geologists gain a better understanding of weather patterns and their impact on the Earth's physical features. This course can help Geologists develop solutions to geological problems and protect natural resources.
Geophysicist
Geophysicist
Geophysicists study the Earth's physical properties and processes. The Weather Data in BigQuery course can help Geophysicists gain a better understanding of weather patterns and their impact on the Earth's physical properties and processes. This course can help Geophysicists develop solutions to geophysical problems and protect natural resources.
Geographer
Geographer
Geographers study the Earth's physical features and human activities. The Weather Data in BigQuery course can help Geographers gain a better understanding of weather patterns and their impact on the Earth's physical features and human activities. This course can help Geographers develop solutions to geographic problems and protect natural resources.
Oceanographer
Oceanographer
Oceanographers study the oceans and their role in the Earth's climate system. The Weather Data in BigQuery course can help Oceanographers gain a better understanding of weather patterns and their impact on the oceans. This course can help Oceanographers develop solutions to ocean-related problems and protect marine resources.
Surveyor
Surveyor
Surveyors measure and map the Earth's surface. The Weather Data in BigQuery course can help Surveyors gain a better understanding of weather patterns and their impact on the Earth's physical features. This course can help Surveyors create more accurate and informative maps.
Geomatics Engineer
Geomatics Engineer
Geomatics Engineers use their knowledge of geomatics to solve problems and protect natural resources. The Weather Data in BigQuery course can help Geomatics Engineers gain a better understanding of weather patterns and their impact on the Earth's physical features and human activities. This course can help Geomatics Engineers develop solutions to geospatial problems and protect natural resources.
Environmental Engineer
Environmental Engineer
Environmental Engineers use their knowledge of engineering and environmental science to solve problems and protect the environment. The Weather Data in BigQuery course can help Environmental Engineers gain a better understanding of weather patterns and their impact on the environment. This course can help Environmental Engineers develop solutions to environmental problems and protect the environment.
Civil Engineer
Civil Engineer
Civil Engineers design and build infrastructure projects such as roads, bridges, and buildings. The Weather Data in BigQuery course can help Civil Engineers gain a better understanding of weather patterns and their impact on infrastructure projects. This course can help Civil Engineers design and build more resilient infrastructure projects.
Data Analyst
Data Analyst
Data Analysts use their skills in data analysis and scientific inquiry to process and refine large datasets. The Weather Data in BigQuery course helps build a foundation in data analysis with BigQuery. Learners of this course are introduced to common industry tools and fundamental principles that will help them succeed as a Data Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/mijcj4/weather
Reading list
We've selected 14 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
Weather Data in BigQuery.
Comprehensive guide to Spark, covering the architecture, components, and use cases of the platform. It would be a valuable resource for those who want to learn more about the technical details of Spark.
Comprehensive guide to Hadoop, covering the architecture, components, and use cases of the platform. It would be a valuable resource for those who want to learn more about the technical details of Hadoop.
Comprehensive guide to reinforcement learning, covering the key concepts and algorithms used in the field. It would be a valuable resource for those who want to learn more about the theoretical foundations of reinforcement learning.
Save
Comprehensive guide to deep learning, covering the key concepts and algorithms used in the field. It would be a valuable resource for those who want to learn more about the theoretical foundations of deep learning.
Provides a comprehensive overview of the ethical challenges posed by algorithms, and how to design algorithms that are fair and just. It would be a valuable resource for those who want to learn more about the ethical implications of data science.
Provides an introduction to data science and its applications in business. It covers the key concepts and techniques used in data science, and would be helpful as a foundational resource for those who are new to the field.
Provides a critical look at the use of algorithms in society, and how they can be used to discriminate against people. It would be a valuable resource for those who want to understand the ethical and social implications of data science.
Provides a comprehensive overview of applied meteorology and climatology. It covers a wide range of topics, from basic atmospheric science to applications in agriculture, forestry, and water resources management. It valuable resource for anyone who wants to learn more about the practical applications of meteorology and climatology.
Save
Provides a practical introduction to data visualization, covering the key concepts and techniques used in the field. It would be a valuable resource for those who want to learn more about how to visualize data effectively.
Save
Provides a critical look at data science, and how it is used in the real world. It would be a valuable resource for those who want to understand the ethical and social implications of data science.
Save
Provides a critical look at the use of mathematical models in the real world, and how they can be used to harm people. It would be a valuable resource for those who want to understand the ethical and social implications of data science.
Save
Provides a critical look at the use of algorithms in society, and how they can be used to discriminate against people. It would be a valuable resource for those who want to understand the ethical and social implications of data science.
Save
Provides a comprehensive overview of weather forecasting. It covers a wide range of topics, from basic weather terminology to advanced forecasting techniques. It valuable resource for anyone who wants to learn more about weather forecasting and the people who make it possible.
Provides a comprehensive guide to weather observation. It covers a wide range of topics, from basic weather terminology to advanced observation techniques. It valuable resource for anyone who wants to learn more about how weather observations are made and how to use them effectively.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mijcj4/weather
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Effort
35 minutes
Level
Introductory
Via
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Institution
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Instructor
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Language
English
Good to know
Helps learners understand the relationship between weather and other datasets, which is often part of data science and data analysis
Provides hands-on experience working with large datasets in BigQuery, which is a valuable tool for data scientists and data analysts
Taught by Google Cloud Training, which has a reputation for providing high-quality training on Google Cloud products
Part of a series of labs on processing scientific data, indicating a comprehensive approach to the subject
May require some prior knowledge of BigQuery or SQL, which may not be suitable for complete beginners
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