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Google Cloud Big Data and Machine Learning Fundamentals en Español

Google Cloud Training

Google Cloud Training

En este curso, aprenderás sobre los productos y servicios de macrodatos y aprendizaje automático de Google Cloud involucrados en el ciclo de vida de datos a IA. También explorarás los procesos, los desafíos y los beneficios de crear una canalización de macrodatos y modelos de aprendizaje automático con Vertex AI en Google Cloud.

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What's inside

Syllabus

Introducción al curso

En esta sección, se da la bienvenida al curso Big Data and Machine Learning Fundamentals y se proporciona una descripción general de la estructura y los objetivos del curso.

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Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Desarrolla fundamentos de Macrodatos y Aprendizaje Automático, que son habilidades esenciales en análisis de datos y ciencia de datos

Explora opciones de aprendizaje automático en Google Cloud, lo que es estándar en la industria

Está impartido por Google Cloud Training, reconocido por su trabajo en la nube

Examina el flujo de trabajo del aprendizaje automático con Vertex AI, que es relevante para los profesionales de ciencia de datos

Proporciona prácticas con AutoML, lo que ayuda a los estudiantes a crear modelos de aprendizaje automático

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Reviews summary

Fundamentos de macrodatos y aa en google cloud

Según los estudiantes, este curso ofrece una buena introducción general a los conceptos fundamentales de macrodatos y aprendizaje automático dentro del ecosistema de Google Cloud Platform (GCP). Los alumnos valoran especialmente los laboratorios prácticos que les permiten interactuar con servicios clave como BigQuery y Vertex AI. Muchos encuentran el contenido útil para principiantes que buscan una primera visión de estas tecnologías. Sin embargo, algunos señalan que la cobertura de ciertos temas puede ser algo superficial y que podrían requerir recursos adicionales para una comprensión más profunda. La disponibilidad del curso completamente en español es un punto muy positivo para los hispanohablantes, facilitando el aprendizaje.

Gran recurso disponible íntegramente en español.

"Excelente que esté disponible en español, facilita mucho."

"Valoro enormemente poder tomar este curso en mi idioma nativo."

"La traducción y localización son de alta calidad."

"Un gran aporte para la comunidad hispanohablante interesada en la nube."

Se destacan secciones sobre BigQuery y Vertex AI.

"El módulo de BigQuery fue particularmente útil y bien explicado."

"Me gustó mucho cómo abordaron Vertex AI y el ciclo de vida del ML."

"La sección sobre BigQuery ML fue una grata sorpresa y muy informativa."

"Aprendí mucho sobre las capacidades de BigQuery que no conocía."

Ofrece una sólida base para principiantes en GCP.

"Me gustó mucho la explicación, buena base..."

"Excelente curso para iniciar en GCP y saber qué servicios están disponibles."

"Este curso me proporcionó una excelente visión general de los servicios de big data y ML de Google Cloud."

"Una introducción muy clara y concisa a los conceptos clave."

"Realmente ayuda a entender los fundamentos y la arquitectura en GCP."

Los ejercicios hands-on refuerzan el aprendizaje.

"Los laboratorios son fantásticos, muy útiles para aplicar lo aprendido."

"Me encantaron los laboratorios, te permiten tocar y sentir las herramientas."

"La parte práctica fue crucial para solidificar mi entendimiento."

"Los ejercicios prácticos son muy relevantes y bien diseñados."

"Hands-on activities were key to understanding the concepts better..."

Algunos temas carecen de profundidad necesaria.

"Aunque es una buena introducción, esperaba un poco más de detalle en ciertos servicios."

"Siento que algunos módulos apenas rascan la superficie; necesito buscar información adicional."

"Podría profundizar más en la implementación y casos de uso avanzados."

"Buena panorámica, pero no suficiente si buscas un conocimiento técnico profundo de inmediato."

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 Google Cloud Big Data and Machine Learning Fundamentals en Español with these activities:

Explora la consola de Google Cloud

Show steps

Familiarízate con la interfaz y las herramientas básicas de Google Cloud para prepararte para trabajar con macrodatos y aprendizaje automático.

Browse courses on Google Cloud

Show steps

Crea una cuenta de Google Cloud (si aún no tienes una).
Inicia sesión en la consola de Google Cloud.
Explora las diferentes secciones y opciones de la consola.
Prueba algunas de las herramientas básicas, como Cloud Shell y Cloud Storage.

Organiza tus notas y recursos para un fácil acceso

Show steps

Mantén tu material de aprendizaje organizado para una revisión eficiente y una mejor retención de conocimientos.

Show steps

Crea un sistema para organizar tus notas, diapositivas y otros materiales.
Clasifica y etiqueta tus notas para una fácil recuperación.
Utiliza herramientas digitales o físicas para mantener todo junto.

Sigue el tutorial de BigQuery para principiantes

Show steps

Comprende los conceptos básicos de BigQuery, un almacén de datos sin servidores, para preparar el terreno para el modelado de datos.

Browse courses on BigQuery

Show steps

Visita el sitio web de Google Cloud para el tutorial de BigQuery para principiantes.
Sigue los pasos para crear un proyecto de Google Cloud y un conjunto de datos de BigQuery.
Carga datos en tu conjunto de datos y practica la ejecución de consultas SQL.

Two other activities

Expand to see all activities and additional details

Show all five activities

Asiste a un taller sobre machine learning con Vertex AI

Show steps

Profundiza tus conocimientos prácticos sobre la construcción y el despliegue de modelos de machine learning con la plataforma unificada de Google Cloud.

Browse courses on Vertex AI

Show steps

Busca talleres sobre Vertex AI en el sitio web de eventos de Google Cloud.
Regístrate para un taller que se ajuste a tu horario y nivel de habilidad.
Asiste al taller y participa activamente.
Completa las actividades prácticas y los ejercicios.

Construye un modelo de aprendizaje automático con AutoML

Show steps

Aplica tus habilidades para crear y desplegar un modelo de machine learning personalizado utilizando la interfaz fácil de usar de AutoML de Google Cloud.

Browse courses on AutoML

Show steps

Selecciona un conjunto de datos para tu modelo.
Decide el tipo de modelo que deseas construir.
Entrena tu modelo utilizando AutoML.
Evalúa y mejora el rendimiento de tu modelo.
Despliega tu modelo y monitoriza su rendimiento.

Career center

Learners who complete Google Cloud Big Data and Machine Learning Fundamentals en Español will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure and processes that allow organizations to collect, store, and analyze data. This course helps build a foundation in the principles of big data and machine learning, which are essential for Data Engineers. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which are widely used in the industry.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This course provides a strong foundation in the principles of big data and machine learning, which are essential for Data Analysts. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which are widely used in the industry.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers are responsible for developing and deploying machine learning models to solve real-world problems. This course provides a comprehensive introduction to machine learning, including the principles of supervised and unsupervised learning, feature engineering, and model evaluation. The course also provides hands-on experience with Google Cloud's Machine Learning services, which are widely used in the industry.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists are responsible for using data to solve business problems. This course provides a comprehensive introduction to the field of data science, including the principles of data analysis, machine learning, and data visualization. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which are widely used in the industry.

See salaries and explore the career path for Data Scientist

Big Data Architect

Big Data Architects are responsible for designing and implementing big data solutions. This course provides a deep understanding of the principles of big data, including data storage, processing, and analysis. The course also provides hands-on experience with Google Cloud's Big Data services, which are widely used in the industry.

See salaries and explore the career path for Big Data Architect

Cloud Architect

Cloud Architects are responsible for designing and implementing cloud-based solutions. This course provides a deep understanding of the principles of cloud computing, including infrastructure, storage, and networking. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which are widely used in the industry.

See salaries and explore the career path for Cloud Architect

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. This course provides a deep understanding of the principles of software engineering, including design patterns, data structures, and algorithms. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which are widely used in the industry.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. This course provides a strong foundation in the principles of business analysis, including process modeling, data analysis, and decision-making. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which can be used to support business analysis activities.

See salaries and explore the career path for Business Analyst

Project Manager

Project Managers are responsible for planning, executing, and delivering projects. This course provides a strong foundation in the principles of project management, including project planning, risk management, and stakeholder management. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which can be used to support project management activities.

See salaries and explore the career path for Project Manager

Product Manager

Product Managers are responsible for defining and managing the development of products. This course provides a strong foundation in the principles of product management, including product strategy, market research, and user experience design. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which can be used to support product management activities.

See salaries and explore the career path for Product Manager

Data Governance Specialist

Data Governance Specialists are responsible for developing and implementing policies and procedures to ensure the quality and integrity of data. This course provides a deep understanding of the principles of data governance, including data quality, data security, and data compliance. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which can be used to support data governance activities.

See salaries and explore the career path for Data Governance Specialist

Data Privacy Analyst

Data Privacy Analysts are responsible for analyzing and mitigating data privacy risks. This course provides a deep understanding of the principles of data privacy, including data protection regulations, data breach prevention, and data anonymization. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which can be used to support data privacy analysis activities.

See salaries and explore the career path for Data Privacy Analyst

Data Security Analyst

Data Security Analysts are responsible for analyzing and mitigating data security risks. This course provides a deep understanding of the principles of data security, including data encryption, access control, and intrusion detection. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which can be used to support data security analysis activities.

See salaries and explore the career path for Data Security Analyst

Data Visualization Engineer

Data Visualization Engineers are responsible for designing and developing data visualizations to communicate data insights. This course provides a strong foundation in the principles of data visualization, including data storytelling, visual design, and user experience. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which can be used to support data visualization activities.

See salaries and explore the career path for Data Visualization Engineer

Data Warehouse Engineer

Data Warehouse Engineers are responsible for designing and implementing data warehouses to store and manage large volumes of data. This course provides a deep understanding of the principles of data warehousing, including data modeling, performance tuning, and data integration. The course also provides hands-on experience with Google Cloud's Big Data and Machine Learning services, which can be used to support data warehousing activities.

See salaries and explore the career path for Data Warehouse Engineer

Reading list

We've selected six 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 Google Cloud Big Data and Machine Learning Fundamentals en Español.

Cover image

Cover image

Save

Comprehensive guide to deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone looking to gain a deeper understanding of the field.

(English) Deep Learning

(English) Deep Learning (Adaptive Computation and Machine...

(English) Deep Learning (Adaptive Computation and Machine...

Cover image

Cover image

Probabilistic Machine Learning

Save

Este libro proporciona una introducción al aprendizaje automático desde una perspectiva probabilística. Cubre temas como modelos gráficos, redes bayesianas y campos aleatorios de Markov. Es un recurso valioso para cualquiera que busque una comprensión más profunda del aprendizaje automático.

(English) Probabilistic Machine Learning: Advanced Topics...

Bayesian Reasoning and Machine Learning South Asian...

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Este libro proporciona una introducción al razonamiento bayesiano y al aprendizaje automático. Cubre temas como el teorema de Bayes, los modelos gráficos y los métodos de muestreo de Monte Carlo. Es un recurso valioso para cualquiera que busque una comprensión más profunda del aprendizaje automático.

(English) Bayesian Reasoning and Machine Learning Paperback

Cover image

Cover image

Probabilistic Graphical Models

Save

Este libro proporciona una introducción a los modelos gráficos probabilísticos. Cubre temas como redes bayesianas, campos aleatorios de Markov y modelos gráficos dinámicos. Es un recurso valioso para cualquiera que busque una comprensión más profunda del aprendizaje automático.

(English) Probabilistic Graphical Models: Principles and...

(English) Probabilistic Graphical Models: Principles and...

Cover image

Cover image

Save

Este libro integral proporciona una introducción completa al aprendizaje profundo, que incluye redes neuronales, aprendizaje por refuerzo y procesamiento del lenguaje natural. Complementa el curso de Google Cloud al ofrecer una inmersión más profunda en técnicas avanzadas.

(English) Deep Learning (Adaptive Computation and Machine...

(English) Deep Learning (Adaptive Computation and Machine...

Cover image

Cover image

Data Science for Business

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Este libro proporciona una introducción a la ciencia de datos. Cubre temas como la recopilación de datos, la preparación de datos y el análisis de datos. Es un recurso valioso para cualquiera que busque comprender los fundamentos de la ciencia de datos.

(English) Data Science for Business: What You Need to Know...

(English) Data Science for Business: What You Need to Know...

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Effort

Approx. 8 hours

Level

Introductory

Via

Coursera

Institution

Google Cloud

Instructor

Google Cloud Training

Language

Español

Transcript

English

Google Cloud Big Data and Machine Learning Fundamentals en Español belongs to the following collections:

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Desarrolla fundamentos de Macrodatos y Aprendizaje Automático, que son habilidades esenciales en análisis de datos y ciencia de datos

Explora opciones de aprendizaje automático en Google Cloud, lo que es estándar en la industria

Está impartido por Google Cloud Training, reconocido por su trabajo en la nube

Examina el flujo de trabajo del aprendizaje automático con Vertex AI, que es relevante para los profesionales de ciencia de datos

Proporciona prácticas con AutoML, lo que ayuda a los estudiantes a crear modelos de aprendizaje automático

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