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Google Cloud Training

Ce cours décrit les problématiques courantes auxquelles se confrontent les analystes de données et explique comment les résoudre à l'aide des outils de big data disponibles sur Google Cloud. Vous découvrirez quelques notions de SQL et apprendrez comment utiliser BigQuery et Dataprep pour analyser et transformer vos ensembles de données.

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Ce cours décrit les problématiques courantes auxquelles se confrontent les analystes de données et explique comment les résoudre à l'aide des outils de big data disponibles sur Google Cloud. Vous découvrirez quelques notions de SQL et apprendrez comment utiliser BigQuery et Dataprep pour analyser et transformer vos ensembles de données.

Il s'agit du premier cours de la série ""From Data to Insights with Google Cloud"". Après l'avoir terminé, inscrivez-vous au cours ""Creating New BigQuery Datasets and Visualizing Insights"".

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What's inside

Syllabus

Module 0: Te damos la bienvenida a From Data to Insights with Google Cloud - Exploring and Preparing Your Data
Obtener información sobre los cursos, el contenido y las tecnologías que forman parte de esta serie de cursos para analistas de datos
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Introducción a los datos en Google Cloud
Comprender los principios básicos de Google Cloud y cómo aprovecharlos para el análisis de macrodatos
Descripción general de las herramientas de macrodatos
Obtener información sobre cuáles son las herramientas clave de macrodatos en Google Cloud que se usarán para analizar, preparar y visualizar datos
Exploración de los datos con SQL
Obtener información para consultar datos con los conceptos básicos de SQL (Structured Query Language) y practicar la escritura de consultas en BigQuery
Precios de BigQuery
Comprender cómo funcionan los precios en BigQuery y cómo se pueden optimizar las consultas de la mejor manera
Limpieza y transformación de datos
Comprender la importancia de crear conjuntos de datos de alta calidad y obtener información sobre las herramientas que resultarán de ayuda para transformar los datos
Resumen del curso
Resumen de los puntos de aprendizaje clave del curso

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Profundiza en conceptos fundamentales para la transformación y el análisis de datos en Google Cloud
Establece una base sólida para el análisis de Big Data con Google Cloud
Especialmente valioso para analistas de datos que buscan aprovechar la tecnología de Google Cloud
Oportunidad de aprender SQL y sus aplicaciones prácticas en el análisis de datos
Requiere conocimientos previos de SQL, lo que puede ser una barrera de entrada para algunos principiantes

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Exploring and Preparing Your Data with BigQuery - Español with these activities:
Revisar lo básico de SQL
Refrescar los conceptos básicos de SQL fortalecerá tu base para comprender BigQuery.
Browse courses on SQL
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  • Repasar los comandos SELECT, WHERE y JOIN
  • Practicar la escritura de consultas en un entorno de práctica
Explorar la documentación de BigQuery y Dataprep
Familiarizarse con las herramientas clave de Google Cloud ampliarán tus habilidades de análisis y preparación de datos.
Browse courses on BigQuery
Show steps
  • Leer la documentación oficial de BigQuery
  • Explorar los tutoriales de Dataprep
Crear un panel de control de datos interactivo
Crear un panel de control te ayudará a mejorar tus habilidades de visualización y presentación de datos.
Show steps
  • Seleccionar un conjunto de datos relevante
  • Diseñar el panel de control
  • Implementar el panel de control utilizando herramientas de visualización
One other activity
Expand to see all activities and additional details
Show all four activities
Contribuir a un proyecto de código abierto relacionado con el análisis de datos
Contribuir a proyectos de código abierto te permitirá aprender de otros y mejorar tus habilidades prácticas.
Show steps
  • Encontrar un proyecto relevante
  • Comprender la base del código y las pautas de contribución
  • Hacer una contribución significativa al proyecto

Career center

Learners who complete Exploring and Preparing Your Data with BigQuery - Español will develop knowledge and skills that may be useful to these careers:
Business Analyst
Business Analysts use data to help businesses understand their customers, identify trends, and make better decisions. This course can help build a foundation for a career as a Business Analyst, by teaching learners the basics of SQL and how to use BigQuery and Dataprep to analyze and transform datasets.
Data Analyst
Data Analysts play a key part in helping make sense of the vast amount of information and data that a company has access to. They do this by analyzing and interpreting data and transforming it into actionable insights. This course can help build a foundation for a career as a Data Analyst, by teaching learners the basics of SQL and how to use BigQuery and Dataprep to analyze and transform datasets.
Data Architect
Data Architects design and build data systems that can meet the needs of an organization. This course may be useful for aspiring Data Architects, as it introduces some of the key tools and concepts used in data architecture, such as SQL, BigQuery, and Dataprep.
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases, ensuring that they are available, reliable, and secure. This course may be useful for aspiring Database Administrators, as it introduces some of the key tools and concepts used in database administration, such as SQL, BigQuery, and Dataprep.
IT Consultant
IT Consultants help clients implement and manage technology solutions. This course may be useful for aspiring IT Consultants, as it introduces some of the key tools and concepts used in IT consulting, such as SQL, BigQuery, and Dataprep.
Financial Analyst
Financial Analysts use data to evaluate financial performance, make investment recommendations, and develop financial plans. This course may be useful for aspiring Financial Analysts, as it introduces some of the key tools and concepts used in financial analysis, such as SQL, BigQuery, and Dataprep.
Data Engineer
Data Engineers are responsible for building and maintaining data pipelines that ensure data is accessible, reliable, and consistent. This course may be useful for aspiring Data Engineers, as it introduces some of the key tools and concepts used in data engineering, such as SQL, BigQuery, and Dataprep.
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help people understand complex information more easily. This course may be useful for aspiring Data Visualization Specialists, as it introduces some of the key tools and concepts used in data visualization, such as SQL, BigQuery, and Dataprep.
Quantitative Analyst
Quantitative Analysts use data to build and test mathematical models that can be used to make predictions and solve problems. This course may be useful for aspiring Quantitative Analysts, as it introduces some of the key tools and concepts used in quantitative analysis, such as SQL, BigQuery, and Dataprep.
Software Developer
Software Developers write and maintain code that powers a wide range of applications and systems. This course may be useful for aspiring Software Developers, as it introduces some of the key tools and concepts used in software development, such as SQL, BigQuery, and Dataprep.
Market Researcher
Market Researchers gather and analyze data on consumer trends, market conditions, and competitor strategies to help businesses make informed decisions. This course may be useful for aspiring Market Researchers, as it introduces some of the key tools and concepts used in market research, such as SQL, BigQuery, and Dataprep.
Data Manager
Data Managers are responsible for the governance and management of data. This course may be useful for aspiring Data Managers, as it introduces some of the key tools and concepts used in data management, such as SQL, BigQuery, and Dataprep.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful for aspiring Data Scientists, as it introduces some of the key tools and concepts used in data science, such as SQL, BigQuery, and Dataprep.
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure that data is used in a consistent and ethical manner. This course may be useful for aspiring Data Governance Analysts, as it introduces some of the key tools and concepts used in data governance, such as SQL, BigQuery, and Dataprep.
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models that can be used to automate tasks and make predictions. This course may be useful for aspiring Machine Learning Engineers, as it introduces some of the key tools and concepts used in machine learning, such as SQL, BigQuery, and Dataprep.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Exploring and Preparing Your Data with BigQuery - Español.
Provides a comprehensive overview of data warehousing, including data modeling, data integration, and data quality. It valuable resource for anyone who wants to learn more about the fundamentals of data warehousing.
Provides a comprehensive overview of Hadoop, including its architecture, components, and programming models. It valuable resource for anyone who wants to learn more about the technical aspects of Hadoop.
Provides a comprehensive overview of Spark, including its architecture, components, and programming models. It valuable resource for anyone who wants to learn more about the technical aspects of Spark.
Provides a comprehensive overview of data science, including its methods, techniques, and applications. It valuable resource for anyone who wants to learn more about the practical aspects of data science.
Provides a comprehensive overview of deep learning, including its algorithms, techniques, and applications. It valuable resource for anyone who wants to learn more about the practical aspects of deep learning.
Provides a comprehensive overview of reinforcement learning, including its algorithms, techniques, and applications. It valuable resource for anyone who wants to learn more about the practical aspects of reinforcement learning.
Provides a comprehensive overview of big data analytics with Python and Spark, including the tools, techniques, and best practices used in big data projects. It valuable resource for anyone who wants to learn more about the practical aspects of big data analytics with Python and Spark.
Provides a comprehensive overview of data visualization, including its principles, techniques, and best practices. It valuable resource for anyone who wants to learn more about the practical aspects of data visualization.

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