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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. Learn how to create deeper analytical insights from soccer event data using BigQuery.
BigQuery can be used to perform more sophisticated data analysis. In this lab, you will analyze soccer event data to achieve real insight from the dataset.
Register for this course and see more details by visiting:
OpenCourser.com/course/1n663m/bigquery
What's inside
Syllabus
BigQuery Soccer Data Analytical Insight
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces data analysis using BigQuery, which is commonly used in industry
Designed for learners with intermediate data analysis skills, as it assumes familiarity with BigQuery
Taught by Google Cloud Training, who are recognized for their expertise in data analytics
Helps learners gain insights from soccer event data, which is useful for sports analysts and data scientists
Provides hands-on labs for practical application of the concepts learned
Save this course
Save BigQuery Soccer Data Analytical Insight 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 BigQuery Soccer Data Analytical Insight with these
activities:
Practice Problem Solving
Show steps
This activity will help you sharpen your problem-solving skills, which will be essential for success in this course.
Browse courses on
Problem Solving
Show steps
-
Solve practice problems from textbooks or online resources
-
Work with a study group to solve problems together
-
Attend office hours or tutoring sessions to get help with difficult problems
Create a personal BigQuery project for data analysis
Show steps
Gain practical experience with BigQuery by creating your own data analysis project. This will allow you to apply your knowledge to a real-world scenario and build a portfolio of work.
Browse courses on
BigQuery
Show steps
-
Create a Google Cloud Platform account.
-
Create a new BigQuery project.
-
Import data into your project.
-
Analyze the data using SQL queries.
Join a study group or online forum focused on BigQuery
Show steps
Connect with other learners and practitioners to discuss BigQuery, share knowledge, and collaborate on projects. This will provide you with a supportive environment for learning and growth.
Browse courses on
BigQuery
Show steps
-
Search for BigQuery study groups or forums.
-
Join a group that aligns with your interests.
-
Participate in discussions and ask questions.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Compile Course Materials
Show steps
This activity will help you prepare for the course by collecting the required resources.
Show steps
-
Gather course syllabus, readings, and assignments
-
Create a system for organizing your materials
Attend a BigQuery workshop or online webinar
Show steps
Gain hands-on experience with BigQuery by attending a workshop or webinar. This will provide you with practical knowledge and skills that you can apply to your own data analysis projects.
Browse courses on
BigQuery
Show steps
-
Search for BigQuery workshops or webinars.
-
Register for an event that fits your schedule and interests.
-
Attend the event and participate actively.
Create a Course Plan
Show steps
This activity will help you stay organized and on track throughout the course.
Show steps
-
Review the course syllabus and identify key topics
-
Create a schedule for completing readings, assignments, and projects
-
Set aside regular study time and stick to it
-
Identify resources that can help you succeed
Explore Google's BigQuery documentation
Show steps
Gain a deeper understanding of BigQuery features and capabilities by exploring the official documentation. This will provide you with a solid foundation for using BigQuery effectively.
Browse courses on
BigQuery
Show steps
-
Visit the BigQuery documentation website.
-
Read through the tutorials and examples.
-
Apply what you learn to your own BigQuery data.
Practice SQL queries on BigQuery data
Show steps
Practice writing SQL queries to retrieve insights from the soccer event data in BigQuery. This will solidify your understanding of SQL syntax and data analysis techniques.
Browse courses on
SQL
Show steps
-
Create a new query in the BigQuery console.
-
Write a SQL query to retrieve the total number of goals scored by each team.
-
Run the query and examine the results.
Join a Study Group
Show steps
This activity will provide you with opportunities to collaborate with other students and learn from their perspectives.
Show steps
-
Find a study group that meets your needs
-
Participate regularly in study group meetings
-
Contribute to the group by sharing your knowledge and insights
Develop a data visualization dashboard for soccer event data
Show steps
Create a visual representation of the soccer event data to make it easier to identify trends and insights. This will enhance your ability to analyze and interpret data effectively.
Browse courses on
Data Visualization
Show steps
-
Choose a data visualization tool.
-
Import the soccer event data into the tool.
-
Create visualizations to represent different aspects of the data.
-
Organize the visualizations into a dashboard.
Watch Online Tutorials
Show steps
This activity will help you supplement your learning by exploring additional resources.
Show steps
-
Search for online tutorials on the course topics
-
Watch the tutorials and take notes
-
Apply what you have learned to your studies
Identify Mentors
Show steps
This activity will provide you with guidance and support throughout your learning journey.
Show steps
-
Identify potential mentors who have expertise in the course topics
-
Reach out to your mentors and request their guidance
-
Meet with your mentors regularly to discuss your progress and get feedback
Review 'BigQuery: The Definitive Guide' by Valliappa Lakshmanan
Show steps
Expand your knowledge of BigQuery's advanced features and best practices by reviewing this comprehensive guide. It will provide you with a deeper understanding of how to use BigQuery effectively for data analysis and insights.
View
Data Science on the Google Cloud Platform
on Amazon
Show steps
-
Purchase or borrow the book.
-
Read through the chapters that are relevant to your interests.
-
Apply what you learn to your own BigQuery projects.
Practice Problem Solving
Show steps
This activity will help you sharpen your problem-solving skills, which will be essential for success in this course.
Browse courses on
Problem Solving
Show steps
Show steps
Show steps
- Solve practice problems from textbooks or online resources
- Work with a study group to solve problems together
- Attend office hours or tutoring sessions to get help with difficult problems
Create a personal BigQuery project for data analysis
Show steps
Gain practical experience with BigQuery by creating your own data analysis project. This will allow you to apply your knowledge to a real-world scenario and build a portfolio of work.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Create a Google Cloud Platform account.
- Create a new BigQuery project.
- Import data into your project.
- Analyze the data using SQL queries.
Join a study group or online forum focused on BigQuery
Show steps
Connect with other learners and practitioners to discuss BigQuery, share knowledge, and collaborate on projects. This will provide you with a supportive environment for learning and growth.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Search for BigQuery study groups or forums.
- Join a group that aligns with your interests.
- Participate in discussions and ask questions.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Compile Course Materials
Show steps
This activity will help you prepare for the course by collecting the required resources.
Show steps
Show steps
Show steps
- Gather course syllabus, readings, and assignments
- Create a system for organizing your materials
Attend a BigQuery workshop or online webinar
Show steps
Gain hands-on experience with BigQuery by attending a workshop or webinar. This will provide you with practical knowledge and skills that you can apply to your own data analysis projects.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Search for BigQuery workshops or webinars.
- Register for an event that fits your schedule and interests.
- Attend the event and participate actively.
Create a Course Plan
Show steps
This activity will help you stay organized and on track throughout the course.
Show steps
Show steps
Show steps
- Review the course syllabus and identify key topics
- Create a schedule for completing readings, assignments, and projects
- Set aside regular study time and stick to it
- Identify resources that can help you succeed
Explore Google's BigQuery documentation
Show steps
Gain a deeper understanding of BigQuery features and capabilities by exploring the official documentation. This will provide you with a solid foundation for using BigQuery effectively.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Visit the BigQuery documentation website.
- Read through the tutorials and examples.
- Apply what you learn to your own BigQuery data.
Practice SQL queries on BigQuery data
Show steps
Practice writing SQL queries to retrieve insights from the soccer event data in BigQuery. This will solidify your understanding of SQL syntax and data analysis techniques.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Create a new query in the BigQuery console.
- Write a SQL query to retrieve the total number of goals scored by each team.
- Run the query and examine the results.
Join a Study Group
Show steps
This activity will provide you with opportunities to collaborate with other students and learn from their perspectives.
Show steps
Show steps
Show steps
- Find a study group that meets your needs
- Participate regularly in study group meetings
- Contribute to the group by sharing your knowledge and insights
Develop a data visualization dashboard for soccer event data
Show steps
Create a visual representation of the soccer event data to make it easier to identify trends and insights. This will enhance your ability to analyze and interpret data effectively.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a data visualization tool.
- Import the soccer event data into the tool.
- Create visualizations to represent different aspects of the data.
- Organize the visualizations into a dashboard.
Watch Online Tutorials
Show steps
This activity will help you supplement your learning by exploring additional resources.
Show steps
Show steps
Show steps
- Search for online tutorials on the course topics
- Watch the tutorials and take notes
- Apply what you have learned to your studies
Identify Mentors
Show steps
This activity will provide you with guidance and support throughout your learning journey.
Show steps
Show steps
Show steps
- Identify potential mentors who have expertise in the course topics
- Reach out to your mentors and request their guidance
- Meet with your mentors regularly to discuss your progress and get feedback
Review 'BigQuery: The Definitive Guide' by Valliappa Lakshmanan
Show steps
Expand your knowledge of BigQuery's advanced features and best practices by reviewing this comprehensive guide. It will provide you with a deeper understanding of how to use BigQuery effectively for data analysis and insights.
View
Data Science on the Google Cloud Platform
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book.
- Read through the chapters that are relevant to your interests.
- Apply what you learn to your own BigQuery projects.
Career center
Learners who complete BigQuery Soccer Data Analytical Insight will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are in charge of making sense of raw data, helping organizations understand what the data is saying and what actions to take. This course can help you with this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Data Scientist
Data Scientist
Data Scientists are responsible for developing and implementing data-driven solutions to business problems. They use their knowledge of statistics, machine learning, and data analysis to extract insights from data and make predictions. This course can help you with this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Market Research Analyst
Market Research Analyst
Market Research Analysts are responsible for gathering and analyzing data about markets, customers, and competitors. They use their findings to help businesses make informed decisions about product development, marketing campaigns, and pricing. This course can help you with this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Business Analyst
Business Analyst
Business Analysts are responsible for understanding the business needs of an organization and translating those needs into technical requirements. They work with stakeholders to gather requirements, analyze data, and develop solutions to improve business processes. This course can help you with this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts are responsible for developing and applying mathematical and statistical models to improve the efficiency of businesses and organizations. They use their knowledge of operations research to analyze data, identify problems, and develop solutions. This course can help you with this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making recommendations to businesses and investors. They use their knowledge of finance and accounting to evaluate the financial health of companies and make recommendations on investments. This course can help you with this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market that meet the needs of customers. This course can help you with this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Management Consultant
Management Consultant
Management Consultants are responsible for advising businesses on how to improve their performance. They work with clients to identify problems, develop solutions, and implement changes. This course can help you with this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Systems Analyst
Systems Analyst
Systems Analysts are responsible for designing, developing, and implementing computer systems. They work with users to understand their needs and develop systems that meet those needs. This course can help you with this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They work with users to understand their needs and develop software that meets those needs. This course may be useful for this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. They work with data scientists and other stakeholders to ensure that data is available in a timely and reliable manner. This course may be useful for this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Actuary
Actuary
Actuaries are responsible for assessing the financial risks of insurance companies and other financial institutions. They use their knowledge of mathematics and statistics to develop models that predict the likelihood of future events. This course may be useful for this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Economist
Economist
Economists are responsible for studying the economy and making predictions about its future performance. They use their knowledge of economics to analyze data and develop models that predict the behavior of the economy. This course may be useful for this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Statistician
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data. They work with data from a variety of sources to answer questions and make predictions. This course may be useful for this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
Database Administrator
Database Administrator
Database Administrators are responsible for the design, implementation, and maintenance of database systems. They work with users to understand their needs and develop databases that meet those needs. This course may be useful for this career as it will teach you how to use BigQuery, a powerful tool for data analysis. With BigQuery, you can query large datasets quickly and easily, identify trends and patterns, and create visualizations to communicate your findings. This course will give you the skills you need to succeed in this role.
For more career information including salaries, visit:
OpenCourser.com/course/1n663m/bigquery
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
BigQuery Soccer Data Analytical Insight.
Save
Challenges conventional wisdom about soccer and uses data to show how the game is really played. It would be a great read for anyone who wants to understand the game at a deeper level.
Save
Explores the psychology of soccer, explaining how mental factors can affect player performance. It would be a fascinating read for anyone who wants to understand the mental side of the game.
Provides a comprehensive guide to nutrition for soccer players. It covers a wide range of topics, including meal planning, hydration, and supplements.
Covers the latest developments in soccer analytics and how they can be used to improve player and team performance. It practical guide that is essential reading for anyone involved in soccer.
Save
Provides a comprehensive history of soccer, from its origins to the modern day. It would be a fascinating read for anyone who wants to learn more about the history of the sport.
Provides a comprehensive overview of FIFA, the governing body of world soccer. It covers a wide range of topics, including FIFA's history, structure, and activities.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1n663m/bigquery
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Effort
45 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Introduces data analysis using BigQuery, which is commonly used in industry
Designed for learners with intermediate data analysis skills, as it assumes familiarity with BigQuery
Taught by Google Cloud Training, who are recognized for their expertise in data analytics
Helps learners gain insights from soccer event data, which is useful for sports analysts and data scientists
Provides hands-on labs for practical application of the concepts learned
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