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Google Cloud Training

La tecnología de Cloud puede aportar un gran valor a una organización y, si la combinamos con datos, podemos generar aún más valor y crear nuevas experiencias para los clientes.En “Exploring Data Transformation with Google Cloud”, se explora el valor que los datos pueden aportar a una organización y las formas en que Google Cloud puede hacer que estos sean útiles y accesibles.Como parte de la ruta de aprendizaje de Cloud Digital Leader, el objetivo de este curso es ayudar a las personas a crecer en su rol y desarrollar el futuro de su empresa.

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What's inside

Syllabus

Introducción al curso
En esta introducción, explorarás los objetivos del curso y obtendrás una vista previa de cada sección.
El valor de los datos
Read more
En esta sección del curso, explorarás el importante rol que desempeñan los datos en la transformación digital de una organización.
Soluciones de administración de datos de Google Cloud
En esta sección del curso, explorarás los productos y las soluciones de administración de datos de Google Cloud, y aprenderás cómo se aplican a diferentes casos de uso empresarial.
Datos útiles y accesibles
En esta sección del curso, examinarás cómo la analítica inteligente, las herramientas de inteligencia empresarial y los análisis de transmisiones pueden agregar valor en diferentes casos de uso empresariales.
Resumen del curso
El curso finaliza con un resumen de los puntos clave que se cubrieron en cada sección y los pasos siguientes para seguir aprendiendo.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduce los cimientos esenciales de la transformación de datos y su valor para las organizaciones
Explora soluciones de gestión de datos y casos de uso empresarial con Google Cloud, lo que brinda habilidades prácticas
Desarrolla conocimientos sobre analítica inteligente, herramientas de inteligencia empresarial y análisis de transmisión, lo que mejora la toma de decisiones
Fortalece la comprensión del valor de los datos y su papel en la transformación digital, lo que fomenta la innovación impulsada por datos
Se enfoca en el desarrollo profesional de los líderes digitales de la nube, quienes impulsan el crecimiento y la innovación en sus organizaciones
Requiere experiencia previa o básica en conceptos de datos, lo que puede ser una limitación para los principiantes absolutos

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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 Data Transformation with Google Cloud - Español with these activities:
Review data management concepts
Reinforce your foundational understanding of data management concepts to strengthen your comprehension of the course material.
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  • Review notes and study materials from previous courses or books on data management.
  • Complete practice questions or exercises related to data management.
Review data management with SQL
Refresh your working knowledge of the SQL programming language
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  • Establish database connectivity
  • Create and populate tables containing relevant data
  • Execute basic queries to retrieve data
  • Use different query types like SELECT, INSERT, and DELETE
  • Visualize extracted data in meaningful charts and graphs
Attend data analytics workshops or conferences
Participate in workshops or conferences to stay updated on the latest advancements in data analytics and cloud computing.
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  • Identify and research upcoming data analytics workshops or conferences.
  • Register for and attend these events, actively engaging in sessions and networking with professionals.
Five other activities
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Participate in discussion forums
Engage in discussions with peers to exchange ideas, clarify concepts, and deepen your understanding of data analytics and cloud computing.
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  • Join online discussion forums or communities related to data analytics and cloud computing.
  • Actively participate in discussions, asking questions, sharing insights, and responding to others.
Develop a data transformation plan
Create a comprehensive plan for transforming data to improve your understanding of data transformation processes and techniques.
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  • Identify different data sources and data types involved in the transformation process.
  • Define the desired data format and structure for the transformed data.
  • Research and select appropriate data transformation tools and techniques.
  • Develop a step-by-step plan for executing the data transformation process.
Explore advanced data analytics techniques
Expand your knowledge by exploring advanced data analytics techniques to enhance your analytical skills and gain a competitive edge.
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  • Identify specific advanced data analytics techniques that align with your interests or career goals.
  • Seek out and follow online tutorials or courses that provide comprehensive instruction on these techniques.
  • Practice applying these techniques to real-world data sets to gain hands-on experience.
Build a data analytics dashboard
Apply your knowledge by building a data analytics dashboard to gain practical experience in data analysis, visualization, and presentation.
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  • Define the purpose and scope of your data analytics dashboard.
  • Gather and prepare the necessary data for your dashboard.
  • Select and use appropriate data visualization techniques to present your data.
  • Develop a user-friendly interface for your dashboard.
Participate in data analytics competitions
Challenge yourself and showcase your skills by participating in data analytics competitions to gain recognition and advance your career.
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  • Identify and research data analytics competitions that align with your interests and skill level.
  • Form or join a team and develop a strategy for participation.
  • Apply your knowledge and skills to solve the competition tasks.

Career center

Learners who complete Exploring Data Transformation with Google Cloud - Español will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst collects, cleans, and interprets data to help businesses make informed decisions. A background in data management, including best practices in data storage and data security, is expected of a Data Analyst. This course introduces Google Cloud's products and solutions for data management so that you can build a foundation in data storage and data security. Furthermore, this course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Data Engineer
A Data Engineer develops, builds, and maintains data management systems. Data Engineers are expected to design data pipelines and data architecture that support business processes. This course introduces Google Cloud's products and solutions for data management so that you can build a foundation in data management. Furthermore, this course can help you improve your technical skills since it includes details on how Google Cloud-based tools perform data management.
Database Administrator
A Database Administrator (DBA) designs, implements, and maintains databases. Knowledge of data storage and data security best practices is essential for a DBA. This course introduces Google Cloud's products and solutions for data management so that you can build a foundation in data storage and data security.
Data Scientist
A Data Scientist develops and deploys models that use data to make predictions and generate insights. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Business Analyst
A Business Analyst uses data to help businesses understand their operations and make informed decisions. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Product Manager
A Product Manager develops and manages products. Data analysis skills are increasingly important for Product Managers. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Marketing Manager
A Marketing Manager develops and executes marketing campaigns. Data analysis skills are increasingly important for Marketing Managers. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Sales Manager
A Sales Manager develops and executes sales strategies. Data analysis skills are increasingly important for Sales Managers. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Customer Success Manager
A Customer Success Manager helps customers achieve success with a company's products or services. Data analysis skills are increasingly important for Customer Success Managers. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Operations Manager
An Operations Manager plans and executes the operations of a business. Data analysis skills are increasingly important for Operations Managers. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Financial Analyst
A Financial Analyst analyzes financial data to help businesses make informed decisions. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Risk Analyst
A Risk Analyst analyzes risk to help businesses make informed decisions. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Auditor
An Auditor examines and evaluates financial and operational information to ensure accuracy and compliance. Data analysis skills are increasingly important for Auditors. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Consultant
A Consultant provides advice and guidance to businesses. Data analysis skills are increasingly important for Consultants. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.
Teacher
A Teacher develops and delivers lesson plans and teaches students. Data analysis skills are increasingly important for Teachers. This course can help you improve your data analysis skills since it includes details on how Google Cloud-based tools perform data analysis.

Reading list

We've selected eight 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 Data Transformation with Google Cloud - Español.
Este libro es un recurso integral para el aprendizaje profundo, cubriendo conceptos teóricos, arquitecturas de redes neuronales y aplicaciones. Es una lectura esencial para los estudiantes que buscan una comprensión profunda del aprendizaje profundo.
Este libro proporciona una guía práctica para aplicar la ciencia de datos a problemas comerciales. Cubre temas como minería de datos, análisis predictivo y visualización de datos.
Este libro proporciona una guía práctica para diseñar e implementar canalizaciones de datos. Cubre temas como ingesta de datos, transformación de datos y entrega de datos.
Este libro ofrece una guía completa sobre Apache Spark, proporcionando información detallada sobre su arquitectura, API y casos de uso, que son relevantes para el análisis y transformación de datos a gran escala.
Este libro ofrece una descripción general completa de Google Cloud Platform. Cubre temas como computación, almacenamiento, redes y análisis de datos.
Este libro es una referencia completa sobre conceptos fundamentales de bases de datos, proporcionando una base sólida para comprender los conceptos y técnicas discutidos en el curso.
Este libro proporciona una introducción a la inteligencia empresarial desde una perspectiva empresarial, discutiendo los conceptos y herramientas esenciales que son relevantes para el análisis y transformación de datos.

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