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BigQuery for Data Analysis

11 Steps 0 minutes Free

Want to learn the core SQL and visualization skills of a Data Analyst? Interested in 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.

Quest Outline

Hands-On Lab

BigQuery ve Cloud SQL için SQL'e giriş

Bu laboratuvarda SQL ile ilgili temel koşulları öğrenecek, BigQuery ve Cloud SQL'de yapılandırılmış sorgular çalıştırma hakkında uygulamalı alıştırmalar yapacaksınız.

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Hands-On Lab

Using BigQuery in the Google Cloud 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.

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Hands-On Lab

BigQuery: Qwik Start - Komut Satırı

Bu uygulamalı laboratuvarda, herkese açık tabloları nasıl sorgulayacağınız ve örnek verileri Komut Satırı Arayüzünü kullanarak nasıl BigQuery'ye yükleyeceğiniz gösterilmektedir. Google BigQuery ile Anlamlı Analizler Elde Etme ve BigQuery: Qwik Start - Qwiklabs Önizlemesi başlıklı kısa videoları izleyin.

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Hands-On Lab

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.

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Hands-On Lab

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.

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Hands-On Lab

Data Studio ile Raporları Keşfetme ve Rapor Oluşturma

Bu laboratuvarda, Google Data Studio'yu Google BigQuery veri tablolarına bağlamayı, grafik oluşturmayı ve boyutlar ile ölçümler arasındaki ilişkileri keşfetmeyi öğreneceksiniz.

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Hands-On Lab

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.

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Hands-On Lab

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.

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Hands-On Lab

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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Hands-On Lab

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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Hands-On Lab

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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Hands-On Lab

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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Hands-On Lab

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.

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