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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.
Read more
This is a self-paced lab that takes place in the Google Cloud console. Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.
Read more
This is a self-paced lab that takes place in the Google Cloud console. Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.
In this lab you will learn more fundamentals of sports data science by writing and executing queries to query data stored in BigQuery tables. The emphasis of the lab is to illustrate how the database works and answer some interesting questions related to the following topics in soccer.
Register for this course and see more details by visiting:
OpenCourser.com/course/blpyhn/bigquery
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What's inside
Syllabus
BigQuery Soccer Data Analysis
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces the basics of writing and executing queries in BigQuery, which is foundational to sports data science
Provides hands-on practice with interactive materials
Focuses on answering questions related to soccer, which may be of interest to soccer enthusiasts
Taught by Google Cloud Training, recognized for its expertise in cloud computing and data analytics
Save this course
Save BigQuery Soccer Data Analysis 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 Analysis with these
activities:
Review fundamental SQL concepts before starting the course
Show steps
Strengthens the foundation for understanding SQL queries and data analysis techniques used in the course.
Browse courses on
SQL
Show steps
-
Revisit basic SQL syntax and data types.
-
Review concepts like tables, joins, and aggregation functions.
-
Practice writing simple SQL queries on a sample dataset.
Practice writing basic SQL queries
Show steps
Bolsters hands-on practice and reinforces fundamental SQL concepts covered in the course.
Browse courses on
SQL
Show steps
-
Install a database management system, such as PostgreSQL or MySQL.
-
Load the sample dataset provided in the course materials into your database.
-
Write SQL queries to retrieve data from the database.
-
Test your queries and make adjustments as needed.
Participate in peer-led discussion groups on soccer data analysis
Show steps
Facilitates collaborative learning, promotes critical thinking, and encourages diverse perspectives on data analysis.
Show steps
-
Find or create a peer-led discussion group focused on soccer data analysis.
-
Prepare questions or insights to share with the group.
-
Actively participate in discussions, share knowledge, and learn from others.
-
Be open to different viewpoints and engage in constructive dialogue.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a comprehensive study guide by compiling notes, assignments, and practice exercises
Show steps
Enhances organization, retention, and provides a valuable resource for exam preparation.
Show steps
-
Gather all relevant course materials, including notes, assignments, and practice exercises.
-
Organize and categorize the materials based on topics or chapters.
-
Summarize key concepts and highlight important points.
-
Include practice questions or exercises for self-assessment.
Follow online tutorials on advanced SQL techniques
Show steps
Provides in-depth guidance and structured learning on advanced SQL concepts, complementing the course materials.
Show steps
-
Identify specific advanced SQL techniques you want to learn.
-
Search for reputable online tutorials or courses that cover those techniques.
-
Follow the tutorials step-by-step, practicing the techniques on your own dataset.
-
Seek clarification or ask questions in online forums or discussion groups.
Design a data visualization to present soccer data insights
Show steps
Enhances understanding of data interpretation and fosters creativity in communicating soccer-related insights.
Browse courses on
Data Visualization
Show steps
-
Choose a specific soccer-related question or topic to explore.
-
Extract relevant data from BigQuery tables.
-
Select an appropriate data visualization tool and create a visual representation of the data.
-
Interpret the results and draw meaningful conclusions.
-
Present your findings in a clear and visually appealing manner.
Contribute to the BigQuery community by reporting bugs or suggesting improvements
Show steps
Encourages active engagement with the BigQuery community, fostering knowledge sharing and contributing to the improvement of the platform.
Browse courses on
BigQuery
Show steps
-
Familiarize yourself with the BigQuery documentation and community forums.
-
Identify areas where you can contribute, such as reporting bugs or suggesting enhancements.
-
Follow the established guidelines for contributing to the BigQuery project.
-
Submit your contributions through the appropriate channels, such as GitHub or mailing lists.
Review fundamental SQL concepts before starting the course
Show steps
Strengthens the foundation for understanding SQL queries and data analysis techniques used in the course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Revisit basic SQL syntax and data types.
- Review concepts like tables, joins, and aggregation functions.
- Practice writing simple SQL queries on a sample dataset.
Practice writing basic SQL queries
Show steps
Bolsters hands-on practice and reinforces fundamental SQL concepts covered in the course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Install a database management system, such as PostgreSQL or MySQL.
- Load the sample dataset provided in the course materials into your database.
- Write SQL queries to retrieve data from the database.
- Test your queries and make adjustments as needed.
Participate in peer-led discussion groups on soccer data analysis
Show steps
Facilitates collaborative learning, promotes critical thinking, and encourages diverse perspectives on data analysis.
Show steps
Show steps
Show steps
- Find or create a peer-led discussion group focused on soccer data analysis.
- Prepare questions or insights to share with the group.
- Actively participate in discussions, share knowledge, and learn from others.
- Be open to different viewpoints and engage in constructive dialogue.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a comprehensive study guide by compiling notes, assignments, and practice exercises
Show steps
Enhances organization, retention, and provides a valuable resource for exam preparation.
Show steps
Show steps
Show steps
- Gather all relevant course materials, including notes, assignments, and practice exercises.
- Organize and categorize the materials based on topics or chapters.
- Summarize key concepts and highlight important points.
- Include practice questions or exercises for self-assessment.
Follow online tutorials on advanced SQL techniques
Show steps
Provides in-depth guidance and structured learning on advanced SQL concepts, complementing the course materials.
Show steps
Show steps
Show steps
- Identify specific advanced SQL techniques you want to learn.
- Search for reputable online tutorials or courses that cover those techniques.
- Follow the tutorials step-by-step, practicing the techniques on your own dataset.
- Seek clarification or ask questions in online forums or discussion groups.
Design a data visualization to present soccer data insights
Show steps
Enhances understanding of data interpretation and fosters creativity in communicating soccer-related insights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a specific soccer-related question or topic to explore.
- Extract relevant data from BigQuery tables.
- Select an appropriate data visualization tool and create a visual representation of the data.
- Interpret the results and draw meaningful conclusions.
- Present your findings in a clear and visually appealing manner.
Contribute to the BigQuery community by reporting bugs or suggesting improvements
Show steps
Encourages active engagement with the BigQuery community, fostering knowledge sharing and contributing to the improvement of the platform.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Familiarize yourself with the BigQuery documentation and community forums.
- Identify areas where you can contribute, such as reporting bugs or suggesting enhancements.
- Follow the established guidelines for contributing to the BigQuery project.
- Submit your contributions through the appropriate channels, such as GitHub or mailing lists.
Career center
Learners who complete BigQuery Soccer Data Analysis will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is responsible for developing and implementing data-driven solutions to business problems. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables. This course will also help you learn how to analyze and interpret data, and present your findings in a clear and concise manner.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables. This course will also help you learn how to analyze and interpret data, and present your findings in a clear and concise manner.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, analyzing, interpreting, and presenting data to help organizations make informed decisions. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables. This course will also help you learn how to analyze and interpret data, and present your findings in a clear and concise manner.
Market Researcher
Market Researcher
A Market Researcher is responsible for collecting and analyzing data about markets and consumers. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables. This course will also help you learn how to analyze and interpret data, and present your findings in a clear and concise manner.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making recommendations for investments. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables. This course will also help you learn how to analyze and interpret data, and present your findings in a clear and concise manner.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is responsible for using mathematical and analytical techniques to solve business problems. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables. This course will also help you learn how to analyze and interpret data, and present your findings in a clear and concise manner.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst is responsible for developing and implementing mathematical models to solve financial problems. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables. This course will also help you learn how to analyze and interpret data, and present your findings in a clear and concise manner.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and testing software applications. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables. This course will also help you learn how to analyze and interpret data, and present your findings in a clear and concise manner.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables.
Information Technology Specialist
Information Technology Specialist
An Information Technology Specialist is responsible for providing technical support and services to users of computer systems. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables.
Computer Programmer
Computer Programmer
A Computer Programmer is responsible for writing and maintaining computer programs. This course can help you develop the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables.
Network Administrator
Network Administrator
A Network Administrator is responsible for managing and maintaining computer networks. This course may be useful for developing the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables.
Systems Analyst
Systems Analyst
A Systems Analyst is responsible for analyzing and designing computer systems. This course may be useful for developing the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables.
Web Developer
Web Developer
A Web Developer is responsible for designing and developing websites. This course may be useful for developing the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables.
Computer Support Specialist
Computer Support Specialist
A Computer Support Specialist is responsible for providing technical support to users of computers and software. This course may be useful for developing the skills needed to succeed in this role by providing you with a foundation in writing and executing queries to query data stored in BigQuery tables.
For more career information including salaries, visit:
OpenCourser.com/course/blpyhn/bigquery
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
BigQuery Soccer Data Analysis .
Provides a comprehensive history of soccer tactics, from the early days of the game to the present day. It valuable resource for anyone who wants to understand the evolution of the sport.
Save
This website valuable resource for anyone who wants to stay up-to-date on the latest soccer news and analysis. It features in-depth articles, match reports, and player profiles.
Provides an in-depth look at the tactical evolution of the Premier League. It must-read for anyone who wants to understand the changing landscape of English soccer.
Save
Challenges conventional wisdom about soccer by using data analysis to reveal the true factors that determine success. It must-read for anyone who wants to understand the modern game.
Save
Takes a humorous and insightful look at the economics of soccer. It explores the factors that contribute to a team's success, including player salaries, stadium size, and fan demographics.
Aims to familiarize the reader with the practical applications of big data in sports through the latest technologies of data collection, data management, and advanced analysis.
Save
Provides a comprehensive overview of soccer. It covers all aspects of the game, from history to tactics to player profiles.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/blpyhn/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 the basics of writing and executing queries in BigQuery, which is foundational to sports data science
Provides hands-on practice with interactive materials
Focuses on answering questions related to soccer, which may be of interest to soccer enthusiasts
Taught by Google Cloud Training, recognized for its expertise in cloud computing and data analytics
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