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NCAA® March Madness®: Bracketology with Google Cloud

Fundamental 4 Steps 2h 45m 11 Créditos

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.

Data Machine Learning

Quest Outline

Lab práctico

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.

Lab práctico

BigQuery: Qwik Start - Línea de comandos

En este lab práctico, aprenderá a consultar tablas públicas y a cargar datos de muestra en BigQuery mediante la interfaz de línea de comandos. Mire estos videos breves Obtenga información valiosa con Google BigQuery y BigQuery: Qwik Start - Vista previa de Qwiklabs.

Deutsch English español (Latinoamérica) français 日本語 português (Brasil)
Lab práctico

Introducción a SQL para BigQuery y Cloud SQL

En este lab, aprenderá cláusulas importantes de SQL y practicará la ejecución de consultas estructuradas en BigQuery y Cloud SQL

Deutsch English español (Latinoamérica) français 日本語 português (Brasil)
Lab práctico

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.

Lab práctico

Bracketology with Google Machine Learning

In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.

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