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Google Cloud Training

Este curso ayuda a los participantes a crear un plan de estudio para el examen de certificación de PDE (Professional Data Engineer). Los alumnos conocerán la amplitud y el alcance de los dominios que se incluyen en el examen. Además, evaluarán su nivel de preparación para el examen y crearán un plan de estudio personal.

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What's inside

Syllabus

Introducción a la certificación Professional Data Engineer (PDE)
Te damos la bienvenida a Preparing for the Professional Cloud Data Engineer Journey. En este módulo de introducción, aprenderás sobre el rol de un Professional Data Engineer. Analizaremos los tipos de recursos disponibles para respaldar tus estudios y cómo usar el cuaderno de ejercicios para crear tu plan de estudio.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Prepara a los estudiantes para la certificación de Ingeniero de Datos Profesional (PDE) de Google Cloud
Proporciona un examen de diagnóstico para ayudar a los estudiantes a evaluar sus habilidades y áreas de mejora
Ofrece un plan de estudio personalizado basado en las necesidades individuales de los estudiantes
Presenta un enfoque paso a paso para preparar a los estudiantes para el examen de certificación

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Reviews summary

Preparación estructurada para el examen pde

Según los estudiantes, este curso ofrece una guía clara y estructurada para quienes se preparan para el examen de certificación de Professional Data Engineer de Google Cloud. Es especialmente valorado por su capacidad para ayudar a organizar el estudio y proporcionar preguntas de diagnóstico útiles que permiten evaluar la preparación individual. Aunque no profundiza en los temas técnicos, los estudiantes aprecian que señala los recursos externos necesarios para un estudio más profundo, actuando como una hoja de ruta esencial. Sin embargo, algunos comentan que, al ser una guía y no un curso técnico, requiere gran autodisciplina y estudio adicional.
Valorado por ser completamente en español.
"Como hispanohablante, agradezco mucho la disponibilidad en español, fue un factor clave para elegirlo."
"Me encantó que todo el contenido estuviera en español, hace la comprensión mucho más fácil y accesible."
"Es fantástico tener un recurso de este tipo en mi idioma nativo para la preparación de certificaciones."
Útiles para evaluar el nivel de preparación.
"Las preguntas de diagnóstico en cada módulo fueron geniales para identificar mis puntos débiles y fuertes."
"Me ayudó mucho a saber qué áreas necesitaba reforzar antes de planificar mi estudio en profundidad."
"Las pruebas me dieron una idea clara de lo que ya sabía y lo que me faltaba aprender para el examen."
Excelente hoja de ruta para la certificación PDE.
"Este curso es una hoja de ruta perfecta para el examen PDE, me ayudó a organizar mis estudios de manera efectiva."
"Realmente me dio la dirección que necesitaba para empezar mi preparación para la certificación."
"La estructura del curso me permitió entender qué estudiar y cómo enfocarme en los dominios del examen."
Exige disciplina para usar recursos externos.
"El curso es una excelente base, pero el éxito depende de tu dedicación para seguir los recursos que sugieren."
"La mayor parte del aprendizaje técnico profundo depende de ti, el curso solo te guía."
"Necesitas mucha autodisciplina para aprovechar al máximo las recomendaciones del curso y estudiar por tu cuenta."
Guía de estudio, no un curso técnico profundo.
"Debes entender que esto es una preparación para el examen, no te enseñará los temas técnicos a fondo."
"Esperaba más contenido técnico, pero es justo lo que dice: una guía para el viaje de certificación."
"No cubre los temas en detalle, su función es organizar el estudio de otros recursos."

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 Preparing for Professional Data Engineer Journey - Español with these activities:
Revisa la guía para el examen de Google Cloud Professional Data Engineer
Familiarízate con el alcance y los temas cubiertos en el examen para orientar mejor tus estudios y prepararte de manera más efectiva.
Show steps
  • Descarga y revisa la guía para el examen de Google Cloud Professional Data Engineer en el sitio web de Coursera.
  • Identifica los temas clave y objetivos de cada sección del examen.
  • Compara los temas del examen con tu nivel actual de conocimientos y habilidades.
Ofrece tutoría a otros estudiantes que se preparan para el examen PDE
Fortalece tu propio dominio del material mientras ayudas a otros estudiantes a comprender conceptos complejos y desarrollar habilidades.
Show steps
  • Identifica plataformas o comunidades en línea donde se reúnan los aspirantes a PDE.
  • Ofrece tu ayuda como tutor o mentor.
  • Comparte tus conocimientos, responde preguntas y guía a los estudiantes con dificultades.
Participa en un proyecto de ciencia de datos o análisis de datos
Adquiere experiencia práctica en la aplicación de habilidades y conocimientos de ingeniería de datos en un entorno del mundo real.
Show steps
  • Explora plataformas de voluntariado o proyectos de código abierto que se centren en ciencia de datos o análisis de datos.
  • Identifica un proyecto que coincida con tus intereses y habilidades.
  • Colabora con otros miembros del equipo para recopilar, limpiar y analizar datos.
  • Desarrolla soluciones y visualizaciones para comunicar los resultados del proyecto.
  • Documenta tu experiencia y los conocimientos adquiridos.
Show all three activities

Career center

Learners who complete Preparing for Professional Data Engineer Journey - Español will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are responsible for constructing, managing, and organizing data pipelines. They may also build custom data processing systems. This course is especially relevant to any Data Engineer working on Big Data projects in the Cloud. This course can help Data Engineers prepare for the Google Cloud Professional Data Engineer certification.
Cloud Engineer
Cloud Engineers are responsible for designing, developing, and maintaining cloud-based applications and systems, as well as ensuring these systems are running efficiently. This course can help Cloud Engineers who are looking to specialize in data engineering by providing them with the knowledge and skills needed to pass the Google Cloud Professional Data Engineer certification.
Data Analyst
Data Analysts collect, analyze, interpret, and present data, to help organizations make informed decisions. This course may be useful for Data Analysts who want to learn more about data engineering tools and technologies.
Data Scientist
Data Scientists collect, analyze, and interpret data, primarily for the purpose of developing machine learning models. This course may help Data Scientists prepare for the Google Cloud Professional Data Engineer certification, which can be an asset to their resume.
Machine Learning Engineer
Machine Learning Engineers develop and maintain machine learning models. This course may be useful for Machine Learning Engineers looking to become certified in Google Cloud's Professional Data Engineer certification.
Software Engineer
Software Engineers design, develop, test, and maintain software applications and systems. This course may be useful for Software Engineers who want to learn more about data engineering.
Database Administrator
Database Administrators are responsible for managing and maintaining databases, ensuring they are running efficiently. This course may be useful for Database Administrators wanting to expand their skill set or prepare for the Google Cloud Professional Data Engineer certification.
Data Science Manager
Data Science Managers lead teams of data scientists and oversee the development and implementation of data science projects. This course may be useful for Data Science Managers looking to expand their knowledge of data engineering tools and technologies.
Solutions Architect
Solutions Architects design, develop, and implement technology solutions to meet the needs of an organization. This course may be useful for Solutions Architects looking to specialize in data engineering by providing them with the knowledge and skills needed to pass the Google Cloud Professional Data Engineer certification.
Business Intelligence Analyst
Business Intelligence Analysts analyze data to identify trends and patterns, and to provide insights to help organizations make better decisions. This course may be useful for Business Intelligence Analysts who want to learn more about data engineering tools and technologies.
Product Manager
Product Managers are responsible for the development and management of software products. This course may be useful for Product Managers wanting to expand their knowledge of data engineering tools and technologies.
Technical Program Manager
Technical Program Managers oversee the planning, execution, and delivery of technology projects. This course may be useful for Technical Program Managers who want to learn more about data engineering.
IT Project Manager
IT Project Managers plan, execute, and deliver IT projects. This course may be useful for IT Project Managers who want to learn more about data engineering.
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure the proper use of data. This course may be helpful to Data Governance Analysts wanting to expand their knowledge of data engineering tools and technologies.
Data Integration Engineer
Data Integration Engineers design and implement data integration solutions. This course may be helpful to Data Integration Engineers wanting to expand their knowledge of data engineering tools and technologies.

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 Preparing for Professional Data Engineer Journey - Español.
Provides a comprehensive guide to designing and building data-intensive applications. It covers topics such as data modeling, data storage, and data processing.
Provides a comprehensive guide to data science for business. It covers topics such as data mining, data analytics, and machine learning.
Provides a comprehensive guide to data-driven marketing. It covers topics such as data collection, data analysis, and data visualization.
Provides a comprehensive guide to data visualization. It covers topics such as data visualization techniques, data visualization tools, and data visualization best practices.
Provides a comprehensive guide to data warehousing. It covers topics such as data warehouse design, data warehouse implementation, and data warehouse management.
Provides a comprehensive guide to database management systems. It covers topics such as database design, database implementation, and database management.
Provides a comprehensive guide to machine learning. It covers topics such as machine learning algorithms, machine learning models, and machine learning applications.

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