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BigQuery For Data Analysis

Fundamental 12 Steps 9h 40m 37 Créditos

Want to learn the core SQL and visualization skills of a Data Analyst? Interested on how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.

Prerequisites

This quest assumes basic knowledge of SQL (Structured Query Language) but does provide an optional first lab to review the basic query syntax. No other labs or quests are required as a prerequisite.

Quest Outline

Laboratório prático

Introdução ao SQL para BigQuery e Cloud SQL

Neste laboratório, você aprenderá sobre as cláusulas básicas do SQL e executará consultas estruturadas no BigQuery e no Cloud SQL.

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Laboratório prático

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.

Laboratório prático

BigQuery: Qwik Start — Linha de comando

Neste laboratório prático, você aprenderá a consultar tabelas públicas e carregar dados de amostra no BigQuery usando a interface de linha de comando. Para saber mais, assista os vídeos rápidos Get Meaningful Insights with Google BigQuery e BigQuery: Qwik Start - Qwiklabs Preview.

Deutsch English español (Latinoamérica) français 日本語 português (Brasil)
Laboratório prático

Exploring Your Ecommerce Dataset with SQL in Google BigQuery

In this lab, you learn to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.

Laboratório prático

Troubleshooting Common SQL Errors with BigQuery

In this lab, you use BigQuery to troubleshoot common SQL errors, query the data-to-insights public dataset, use the Query Validator, and troubleshoot syntax and logical SQL errors.

Laboratório prático

Explore and Create Reports with Data Studio

In this lab, you learn how to connect Google Data Studio to Google BigQuery data tables, create charts, and explore the relationships between dimensions and measures.

Laboratório prático

Creating Permanent Tables and Access-Controlled Views in BigQuery

This lab focuses on how to create new permanent reporting tables and logical reviews from an existing ecommerce dataset.

Laboratório prático

Ingesting New Datasets into BigQuery

This lab focuses on how to ingest new datasets into tables inside of BigQuery.

Laboratório prático

Troubleshooting and Solving Data Join Pitfalls

This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them together.

Laboratório prático

Creating a Data Warehouse Through Joins and Unions

This lab focuses on how to create new reporting tables using SQL JOINS and UNIONs.

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Laboratório prático

Creating Date-Partitioned Tables in BigQuery

This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.

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Laboratório prático

Working with JSON, Arrays, and Structs in BigQuery

In this lab you will work with semi-structured data (ingesting JSON, Array data types) inside of BigQuery. You will practice loading, querying, troubleshooting, and unnesting various semi-structured datasets.

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Laboratório prático

Predict Visitor Purchases with a Classification Model in BQML

In this lab you will use a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.

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Laboratório prático

Predict Taxi Fare with a BigQuery ML Forecasting Model

In this lab you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create a ML model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.

English 日本語

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