Introduction to Data Analytics on Google Cloud
- Código del Curso GO9094
- Duración 1 Día
Otros Métodos de Impartición
Salta a:
Método de Impartición
Este curso está disponible en los siguientes formatos:
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Cerrado
Cerrado
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Clase de calendario
Aprendizaje tradicional en el aula
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Aprendizaje Virtual
Aprendizaje virtual
Solicitar este curso en un formato de entrega diferente.
Temario
Parte superiorThis course is an introduction to data analytics on Google Cloud.
This course covers the basics of data analysis, including collection, storage, exploration, visualization, and sharing.It also introduces learners to Google Cloud’s data analytics tools and services.Through video lectures, demos, quizzes, and hands-on labs, the course demonstrates how to go from raw data to impactful visualizations and dashboards.
Products:
- BigQuery
- Looker
- Looker Studio
Updated July 2026
Curso Cerrado (In-Company)
Debido a que nuestra formación es modular, nuestros responsables de formación e instructores pueden trabajar con usted y su equipo para detectar las necesidades formativas y adaptar un temario de forma rápida y rentable. Durante una formación cerrada, usted recibirá una formación de expertos en un curriculum adaptado a sus necesidades.
Calendario
Parte superiorDirigido a
Parte superior- Data analysts
Objetivos del Curso
Parte superiorAfter this course participants should be able to:
- Describe the data analytics workflow on Google Cloud and summarize the different types of analytics.
- Identify Google Cloud data analytics products and describe how each is used to work with data.
- Describe data sources, data structures, and data storage options in Google Cloud.
- Use BigQuery, Looker, and Looker Studio to answer data questions and influence business decisions.
Contenido
Parte superiorModule 01 : Understand the Data Analytics Lifecycle on Google Cloud
- Detail and describe the data analytics workflow on Google Cloud.
- Compare and contrast data sources and storage methods available in Google Cloud.
- Compare how different data types can be used for data analytics.
Module 02 : Explore Data and Extract Insights by Using BigQuery
- Describe BigQuery and the BigQuery solution architecture.
- Derive insights from data by using BigQuery.
- Use the BigQuery user interface to run basic queries.
- Lab 1: BigQuery Qwik Start: Console
- Lab 2: Introduction to SQL for BigQuery and Cloud SQL
- Lab 3: BigLake: Qwik Start
- Lab 4: Analyze data with Gemini Assistance
- Quizz
Module 03 : Make Data-Driven Decisions by Using Looker
- Manipulate a Looker Explore to answer data-driven questions.
- Create a situation-appropriate visualization to highlight the answer for a datadriven question.
- Choose between Looker and Looker Studio for data visualization and sharing.
- Share visualizations with others.
- Lab 1: Looker Data Explorer—Qwik Start
- Lab 2: Looker Data Studio—Qwik Star
- Quiz
Module 4: Course Summary
- Find resources for additional learning and support.
Pre-requisitos
Parte superior- Basic familiarity with SQL
- Basic understanding of data concepts such as data types (relational, non-relational) and storage (data lakes, data warehouses)
Certificación de Prueba
Parte superiorNone
Siguientes Cursos Recomendados
Parte superiorNo recommendation
Más información
Parte superior- Official course book provided to participants
