Fundamental 4 Steps 2時 45分 11クレジット
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
Quest Outline
Using BigQuery in the GCP Console
This lab shows you how to query public tables and load sample data into BigQuery using the GCP Console. Watch the following short video Get Meaningful Insights with Google BigQuery.
BigQuery: Qwik Start - コマンドライン
このハンズオンラボでは、コマンドライン インターフェースを使用して一般公開テーブルに対してクエリを実行する方法と、サンプルデータを BigQuery に読み込む方法について説明します。Get Meaningful Insights with Google BigQuery と BigQuery: Qwik Start - Qwiklabs Preview の短い動画をご覧ください。
SQL for BigQuery と Cloud SQL の概要
このラボでは、基本的な SQL 句について学び、BigQuery と Cloud SQL で実際に構造化クエリを実行します。
Exploring NCAA Data with BigQuery
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.
Bracketology with Google Machine Learning
In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.
Enroll Now
Enroll in this quest to track your progress toward earning a badge.
