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Exploring NCAA Data with BigQuery

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches how to use BigQuery to explore sports data
Uses a self-paced lab that takes place in the Google Cloud console
Instructors are Google Cloud Training, who has expertise in teaching cloud computing concepts
Provides an opportunity to explore the NCAA dataset of basketball games, teams, and players

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Reviews summary

Hands-on bigquery with ncaa data

According to learners, this course offers a highly practical experience using BigQuery with an engaging NCAA dataset. Students frequently highlight its hands-on labs and flexible, self-paced format, making it an excellent choice for applying SQL skills in a real-world cloud environment. While it provides a solid introduction to BigQuery, some mention it may be too basic for those with advanced skills. Prior basic SQL knowledge is helpful to maximize learning. The course successfully combines an interest in sports with practical data analytics.
Good for beginners, less for advanced users.
"This course is great as a quick refresher or for true beginners, but too basic if you're already proficient."
"I expected more advanced BigQuery techniques; it felt very introductory for my skill level."
"For someone starting out, the pacing is excellent, but experienced users might find it moves slowly."
Benefits learners with prior SQL knowledge.
"While good, I recommend having some basic SQL knowledge beforehand to get the most out of it."
"It's best for individuals who already understand SQL concepts; it doesn't teach SQL from scratch."
"I found that my prior experience with SQL really helped me grasp the BigQuery concepts quickly."
Offers flexibility for learners' schedules.
"The self-paced lab format allowed me to progress at my own speed, fitting perfectly into my busy schedule."
"I appreciated the flexibility of working through the labs whenever I had time, making it very accessible."
"Being able to revisit sections and work independently was a huge plus for my learning style."
Delivers a solid foundation in BigQuery.
"I gained a strong understanding of core BigQuery functionalities and how to query large datasets effectively."
"This course provides a great introduction to BigQuery for anyone new to the platform or cloud data."
"It helped me get familiar with BigQuery in a practical, real-world scenario, which was invaluable."
Uses an interesting NCAA sports dataset.
"Working with the NCAA dataset was genuinely fun and made the learning process much more engaging."
"As a sports analytics enthusiast, exploring the rich NCAA data was a fantastic way to learn BigQuery."
"The uniqueness of the NCAA data really kept my interest while I was practicing complex queries."
Provides practical BigQuery experience.
"The hands-on experience with BigQuery was excellent, allowing me to truly apply what I learned immediately."
"I found the practical queries and lab environment to be the strongest part, solidifying my understanding of BigQuery."
"This course is perfect for practicing BigQuery skills; the lab format is incredibly effective for learning."

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:
Run a few basic SQL queries
Refresh your SQL skills before taking this course to clear prerequisites and better help you prepare for success when the course finally begins.
Browse courses on SQL
Show steps
  • Connect to a database management system.
  • Create a table with a few columns.
  • Insert some data into the table.
  • Select data from the table using simple WHERE clauses.
Watch a video tutorial or read an article about BigQuery
Reviewing past coursework or study materials can help refresh knowledge in advance of taking a course.
Browse courses on BigQuery
Show steps
  • Search for a video tutorial or article about BigQuery.
  • Watch or read the tutorial.
Complete the Google BigQuery Standard SQL tutorial
Following a tutorial can help refine existing SQL skills or develop new ones.
Browse courses on SQL
Show steps
  • Visit the Google BigQuery Standard SQL tutorial page.
  • Read through the tutorial.
  • Follow the instructions to complete the exercises.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice writing SQL queries on the NCAA dataset
Repetitive exercises can reinforce understanding and refine skills.
Browse courses on SQL
Show steps
  • Familiarize yourself with the NCAA dataset schema.
  • Write a few simple queries to retrieve data from the NCAA dataset.
  • Challenge yourself by writing more complex queries.
Attend a study group or join an online forum to discuss the course material
Peer practice sessions or study groups can add color to the materials covered in this course.
Show steps
  • Find a study group or online forum that focuses on this course or BigQuery.
  • Attend the study group or participate in the online forum regularly.
  • Ask questions, share your insights, and collaborate with other learners.
Create a data visualization of the NCAA dataset
Creating a data visualization can help solidify learning and expand on a part of the course.
Browse courses on Data Visualization
Show steps
  • Choose a data visualization tool.
  • Connect the tool to the NCAA dataset.
  • Create a visualization that represents the data in a meaningful way.
Compile your notes, assignments, and quizzes into a single document
Organizing, expanding on, and reviewing notes, assignments, quizzes, and exams can improve retention and deepen knowledge.
Show steps
  • Gather all of your notes, assignments, and quizzes from this course.
  • Organize the materials in a logical order.
  • Review the materials regularly.
Contribute to a BigQuery open-source project
Participating in open-source projects can contribute to the learning process by exposing you to real-world challenges and allowing you to learn from others.
Browse courses on BigQuery
Show steps
  • Find a BigQuery open-source project that you are interested in.
  • Submit a pull request with your contribution.

Career center

Learners who complete Exploring NCAA Data with BigQuery will develop knowledge and skills that may be useful to these careers:
Sports Data Scientist
Sports Data Scientists use data to build models and solve problems in the sports industry. This course may be particularly relevant for aspiring Sports Data Scientists because it provides hands-on experience with BigQuery, a tool that is used by many sports organizations to store and analyze data.
See salaries and explore the career path for Sports Data Scientist
Sports Data Engineer
Sports Data Engineers design and build systems for storing, processing, and analyzing sports data. This course may be particularly relevant for aspiring Sports Data Engineers because it provides hands-on experience with BigQuery, a tool that is used by many sports organizations to store and analyze data.
See salaries and explore the career path for Sports Data Engineer
Sports Data Analyst
Sports Data Analysts use data to analyze sports performance and make predictions. This course may be particularly relevant for aspiring Sports Data Analysts because it provides hands-on experience with BigQuery, a tool that is used by many sports organizations to store and analyze data.
See salaries and explore the career path for Sports Data Analyst
Data Visualization Analyst
Data Visualization Analysts create visualizations that help people understand data. This course may be useful for aspiring Data Visualization Analysts because it provides hands-on experience with BigQuery, a tool that can be used to store and analyze large datasets.
See salaries and explore the career path for Data Visualization Analyst
Statistician
Statisticians collect, analyze, and interpret data. This course may be useful for aspiring Statisticians because it provides hands-on experience with BigQuery, a tool that can be used to store and analyze large datasets.
See salaries and explore the career path for Statistician
Product Manager, Data
Product Managers, Data manage data products and ensure that they meet the needs of users. This course may be useful for aspiring Product Managers, Data because it provides hands-on experience with BigQuery, a cloud-based data warehouse that is used by many large organizations.
See salaries and explore the career path for Product Manager, Data
Data Architect
Data Architects design and build data systems. This course may be useful for aspiring Data Architects because it provides hands-on experience with BigQuery, a cloud-based data warehouse that is used by many large organizations.
See salaries and explore the career path for Data Architect
Machine Learning Engineer
Machine Learning Engineers design and build systems that can learn from data and make predictions. This course may be useful for aspiring Machine Learning Engineers because it provides hands-on experience with BigQuery, a tool that can be used to store and analyze large datasets.
See salaries and explore the career path for Machine Learning Engineer
Business Analyst
Business Analysts help businesses make better decisions by analyzing data and understanding business needs. This course may be useful for aspiring Business Analysts because it provides hands-on experience with BigQuery, a tool that can be used to store and analyze large datasets.
See salaries and explore the career path for Business Analyst
Database Administrator
Database Administrators design and maintain databases. This course may be useful for aspiring Database Administrators because it provides hands-on experience with BigQuery, a cloud-based data warehouse.
See salaries and explore the career path for Database Administrator
Software Engineer, Data
Software Engineers, Data build systems for storing, processing, and analyzing data. This course may be useful for aspiring Software Engineers, Data because it provides hands-on experience with BigQuery, a cloud-based data warehouse that is used by many large organizations.
See salaries and explore the career path for Software Engineer, Data
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. This course may be useful for aspiring Quantitative Analysts because it provides hands-on experience with BigQuery, a tool that can be used to store and analyze large datasets.
See salaries and explore the career path for Quantitative Analyst
Data Scientist
Data Scientists use data to build models and solve problems. This course may be useful for aspiring Data Scientists because it provides hands-on experience with BigQuery, a tool that can be used to store and analyze large datasets.
See salaries and explore the career path for Data Scientist
Data Analyst
Data Analysts help businesses make better decisions by collecting, analyzing, and interpreting data. This course may be useful for aspiring Data Analysts because it provides hands-on experience with BigQuery, a powerful tool for data analysis.
See salaries and explore the career path for Data Analyst
Data Engineer
Data Engineers design and build systems for storing, processing, and analyzing data. This course may be useful for aspiring Data Engineers because it provides hands-on experience with BigQuery, a cloud-based data warehouse that is used by many large organizations.
See salaries and explore the career path for Data Engineer

Reading list

We've selected nine 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.
Basketball Beyond Paper
Save
Is considered a classic in the field of basketball analytics, and provides a detailed explanation of how to use statistics to evaluate player and team performance. It includes a wealth of data and analysis, and valuable resource for anyone who wants to learn more about the subject.
Basketball beyond Paper: Insights into the Game's...
Paperback
$$
Basketball beyond Paper: Insights into the Game's...
Kindle Edition
$$
Cover image
Basketball on Paper
Save
For learners who want to delve deeper into the world of basketball analytics, this book is an invaluable resource. It covers advanced concepts and techniques, and provides detailed explanations of how they can be used to evaluate player and team performance.
Basketball on Paper
Paperback
Check
Basketball on Paper
Kindle Edition
Check
Cover image
The Book
Save
Provides a detailed explanation of how to use statistics to evaluate player and team performance in baseball. It includes a wealth of data and analysis, and valuable resource for anyone who wants to learn more about the subject.
The Book
Paperback
Check
The Book
Kindle Edition
Check
Cover image
Spin
Save
Is considered a classic in the field of baseball analytics, and provides a comprehensive overview of the subject. It includes a wealth of data and analysis, and valuable resource for anyone who wants to learn more about the subject.
Spin: How the World (and Almost Everything in It)...
Paperback
$$
Spin: How the World (and Almost Everything in It)...
Kindle Edition
$$
Cover image
Soccernomics (2022 World Cup Edition)
Save
Provides a comprehensive overview of the world of soccer economics, and discusses how data can be used to evaluate player and team performance. It includes a wealth of insights and analysis, and valuable resource for anyone who wants to learn more about the subject.
Soccernomics (2022 World Cup Edition): Why European...
Paperback
$
Soccernomics (2022 World Cup Edition): Why European...
Kindle Edition
$$
Cover image
The Big Short
Save
Tells the story of how the Oakland Athletics used analytics to build a successful baseball team on a small budget. It great choice for learners who want to learn more about the practical applications of baseball analytics.
The Big Short: Inside the Doomsday Machine
Paperback
$$
The Big Short
Paperback
$$
(Deutsch) The Big Short: Wie eine Handvoll Trader die Welt...
Kindle Edition
$
Michael Lewis 3 Books Collection Set(The Big Short,...
Paperback
$$$
(Español) La gran apuesta / The Big Short: Inside the...
Paperback
$$
(Pусский) Игра на понижение: Тайные пружины финансовой...
Kindle Edition
$
Liar's Poker: From the author of the Big Short...
Paperback
$
(中文) The Big Short：inside the Doomsday Machine (Chinese...
Paperback
$$$
(日本語) The Big Short- Inside the Doomsday Machine...
Paperback Bunko
$$
Cover image
The Numbers Game
Save
Provides an accessible introduction to the world of soccer analytics, and explains how data can be used to evaluate player and team performance. It includes a wealth of practical examples and case studies, and great choice for learners who want to learn more about the subject.
The Numbers Game: Why Everything You Know About...
Paperback
$$
The Numbers Game: Why Everything You Know About...
Kindle Edition
$
Cover image
2015 Official Rules of Major League Baseball
Save
Provides the official rules of baseball, and valuable resource for anyone who wants to learn more about the sport. It includes detailed explanations of all the rules, as well as examples of how they are applied in practice.
2015 Official Rules of Major League Baseball
Paperback
Check
2015 Official Rules of Major League Baseball
Kindle Edition
Check
Cover image
The Book of Basketball
Save
This comprehensive and entertaining book provides a historical and cultural overview of basketball, and includes in-depth analysis of some of the greatest players and teams in the sport's history.
The Book of Basketball: The NBA According to The...
Paperback
$$
The Book of Basketball: The NBA According to The...
Unknown Binding
$$
The Book of Basketball: The NBA According to The...
Kindle Edition
$$

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Effort
45 Minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Teaches how to use BigQuery to explore sports data
Uses a self-paced lab that takes place in the Google Cloud console
Instructors are Google Cloud Training, who has expertise in teaching cloud computing concepts
Provides an opportunity to explore the NCAA dataset of basketball games, teams, and players
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