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Google Cloud Training
BigQuery is Google's fully managed, NoOps, low-cost analytics database. With BigQuery you can query terabytes and terabytes of data without managing infrastructure or needing a database administrator. BigQuery uses SQL and takes advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
We have a newly available dataset for NCAA Basketball games, teams, and players. The game data covers play-by-play and box scores back to 2009, as well as final scores back to 1996. Additional data about wins and losses goes back to the 1894-5 season in some teams' cases.
In this Google Cloud...
Read more
BigQuery is Google's fully managed, NoOps, low-cost analytics database. With BigQuery you can query terabytes and terabytes of data without managing infrastructure or needing a database administrator. BigQuery uses SQL and takes advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
We have a newly available dataset for NCAA Basketball games, teams, and players. The game data covers play-by-play and box scores back to 2009, as well as final scores back to 1996. Additional data about wins and losses goes back to the 1894-5 season in some teams' cases.
In this Google Cloud...
Read more
BigQuery is Google's fully managed, NoOps, low-cost analytics database. With BigQuery you can query terabytes and terabytes of data without managing infrastructure or needing a database administrator. BigQuery uses SQL and takes advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
We have a newly available dataset for NCAA Basketball games, teams, and players. The game data covers play-by-play and box scores back to 2009, as well as final scores back to 1996. Additional data about wins and losses goes back to the 1894-5 season in some teams' cases.
In this Google Cloud Lab, we will find and query the NCAA dataset using BigQuery.
Note: you will have timed access to the online environment. You will need to complete the lab within the allotted time.
Register for this course and see more details by visiting:
OpenCourser.com/course/w1824t/exploring
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Learns SQL, which is a foundational skill in data analysis across industries
Uses real-world dataset to teach BigQuery
Taught by Google Cloud Training, who are recognized in cloud computing
Builds a foundational understanding of BigQuery
Requires prior knowledge of SQL or structured query language
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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 Exploring NCAA Data with BigQuery with these
activities:
Review SQL basics
Show steps
Refresh your knowledge of SQL before starting the course.
Show steps
-
Go to the SQL basics tutorial
-
Read the tutorial
-
Complete the practice exercises
-
Take a SQL quiz
-
Review your results and identify areas for improvement
Build a dashboard with BigQuery
Show steps
Build a dashboard using BigQuery and Google Data Studio to visualize and explore the NCAA dataset.
Browse courses on
Data Visualization
Show steps
-
Connect Google Data Studio to BigQuery
-
Create a new report
-
Add charts and visualizations to your report
-
Share your dashboard with others
Show all two activities
Review SQL basics
Show steps
Refresh your knowledge of SQL before starting the course.
Show steps
Show steps
Show steps
- Go to the SQL basics tutorial
- Read the tutorial
- Complete the practice exercises
- Take a SQL quiz
- Review your results and identify areas for improvement
Build a dashboard with BigQuery
Show steps
Build a dashboard using BigQuery and Google Data Studio to visualize and explore the NCAA dataset.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Connect Google Data Studio to BigQuery
- Create a new report
- Add charts and visualizations to your report
- Share your dashboard with others
Show all two activities
Career center
Learners who complete Exploring NCAA Data with BigQuery will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, clean, and interpret data to help organizations make informed decisions. This course provides a strong foundation in BigQuery, a powerful data analytics tool that can handle large and complex datasets. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that are highly sought-after in the data analytics field. This course will also help you build a portfolio of data analytics projects that you can showcase to potential employers.
Data Scientist
Data Scientist
Data Scientists use statistical modeling and machine learning to extract insights from data. This course provides a hands-on introduction to BigQuery, a powerful data analytics tool that is used by many data scientists. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the data science field. This course will also help you build a portfolio of data science projects that you can showcase to potential employers.
Business Analyst
Business Analyst
Business Analysts use data analysis to help organizations improve their business operations. This course provides a solid foundation in BigQuery, a powerful data analytics tool that is used by many business analysts. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the business analysis field. This course will also help you build a portfolio of business analysis projects that you can showcase to potential employers.
Market Researcher
Market Researcher
Market Researchers use data analysis to help organizations understand their customers and markets. This course provides a solid foundation in BigQuery, a powerful data analytics tool that is used by many market researchers. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the market research field. This course will also help you build a portfolio of market research projects that you can showcase to potential employers.
Sports Analyst
Sports Analyst
Sports Analysts use data analysis to help teams and athletes improve their performance. This course provides a solid foundation in BigQuery, a powerful data analytics tool that is used by many sports analysts. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the sports analytics field. This course will also help you build a portfolio of sports analytics projects that you can showcase to potential employers.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course provides a solid foundation in BigQuery, a powerful data analytics tool that is used by many database administrators. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the database administration field. This course will also help you build a portfolio of database administration projects that you can showcase to potential employers.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines and infrastructure. This course provides a solid foundation in BigQuery, a powerful data analytics tool that is used by many data engineers. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the data engineering field. This course will also help you build a portfolio of data engineering projects that you can showcase to potential employers.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. This course provides a solid foundation in BigQuery, a powerful data analytics tool that can be used to analyze website and web application data. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the web development field. This course will also help you build a portfolio of web development projects that you can showcase to potential employers.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course provides a solid foundation in BigQuery, a powerful data analytics tool that is used by many software engineers. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the software engineering field. This course will also help you build a portfolio of software engineering projects that you can showcase to potential employers.
Product Manager
Product Manager
Product Managers manage the development and launch of new products. This course provides a solid foundation in BigQuery, a powerful data analytics tool that can be used to analyze product data. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the product management field. This course will also help you build a portfolio of product management projects that you can showcase to potential employers.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. This course provides a solid foundation in BigQuery, a powerful data analytics tool that can be used to analyze marketing data. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the marketing management field. This course will also help you build a portfolio of marketing management projects that you can showcase to potential employers.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. This course provides a solid foundation in BigQuery, a powerful data analytics tool that can be used to analyze financial data. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the financial analysis field. This course will also help you build a portfolio of financial analysis projects that you can showcase to potential employers.
Statistician
Statistician
Statisticians use statistical methods to analyze data. This course provides a solid foundation in BigQuery, a powerful data analytics tool that can be used to analyze statistical data. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the statistics field. This course will also help you build a portfolio of statistics projects that you can showcase to potential employers.
Actuary
Actuary
Actuaries use statistical analysis to assess risk and uncertainty. This course provides a solid foundation in BigQuery, a powerful data analytics tool that can be used to analyze actuarial data. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the actuarial field. This course will also help you build a portfolio of actuarial projects that you can showcase to potential employers.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to solve business problems. This course provides a solid foundation in BigQuery, a powerful data analytics tool that can be used to analyze operations research data. By learning how to query and analyze NCAA basketball data using BigQuery, you will gain valuable skills that will help you succeed in the operations research field. This course will also help you build a portfolio of operations research projects that you can showcase to potential employers.
For more career information including salaries, visit:
OpenCourser.com/course/w1824t/exploring
Reading list
We've selected 15 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 NCAA Data with BigQuery.
Comprehensive encyclopedia of the game of basketball, covering the history of the sport, the teams and players who have participated in it, and the strategies and tactics used by teams to win.
Is the official rulebook for NCAA basketball. It is essential reading for anyone who wants to understand the rules of the game.
Save
Comprehensive overview of basketball, covering everything from the game's history to its rules and strategies. It valuable resource for anyone who wants to learn more about the sport.
Save
Must-read for any serious basketball fan. It offers insights into the game from two of the greatest players and coaches of all time.
Comprehensive introduction to data science for business. It covers the basics of data science and how it can be used to improve business performance.
Comprehensive guide to basketball coaching. It covers all aspects of coaching, from player development to game strategy.
Comprehensive history of NCAA basketball. It covers the sport's origins, its greatest players and teams, and its most memorable moments.
Memoir by legendary UCLA basketball coach John Wooden. It great read for anyone who wants to learn about the principles of leadership and success.
Save
Comprehensive introduction to predictive analytics. It covers the basics of predictive analytics and how it can be used to make better decisions.
Save
Popular science book that explores the science of prediction. It valuable read for anyone who wants to learn more about how to make better predictions.
Save
Critical look at the business of college sports. It examines the role of money in college athletics and the impact it has on student-athletes.
History of the sabermetric revolution in baseball. It great read for anyone who wants to learn about the use of data to improve sports performance.
Save
Popular science book that explores the science of habits. It valuable read for anyone who wants to learn more about how habits can be changed.
Popular science book that explores the factors that contribute to success. It valuable read for anyone who wants to learn more about how to achieve success.
Save
Popular science book that explores the impact of big data on society. It valuable read for anyone who wants to learn more about the opportunities and challenges of big data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/w1824t/exploring
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Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Good to know
Learns SQL, which is a foundational skill in data analysis across industries
Uses real-world dataset to teach BigQuery
Taught by Google Cloud Training, who are recognized in cloud computing
Builds a foundational understanding of BigQuery
Requires prior knowledge of SQL or structured query language
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