Exploring NCAA Data with BigQuery
About this Course
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
Related Online Courses
This intermediate-level course equips learners with a comprehensive understanding of environmental, social, and governance (ESG) principles and practical mastery of applying generative AI (GenAI)... more
Course Description: Teradata SQL and Data Management is a comprehensive course designed to equip participants with advanced skills in Teradata SQL querying and data management techniques. This... more
This course has been created for Civil and Transportation Engineers. The \"Planning of Metros \" course is intended for entry level graduates, those who want to comprehend and navigate the concepts... more
Welcome to Climate Resilience and Urban Sustainability, the first course in the Building Sustainable Cities Specialization. By completing Climate Resilience and Urban Sustainability, you will gain... more
This course introduces you to the fundamentals that power the Decentralized Financial (DeFi) System. Our goal is to have you walk away an informed user of the applications, tools & techniques... more
Powered by
