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Google Cloud Training
Este curso acelerado a pedido de una semana está basado en Google Cloud Platform Big Data and Machine Learning Fundamentals. Mediante una serie de presentaciones, demostraciones y labs prácticos dictados por un instructor, los participantes aprenderán a...
Read more
Este curso acelerado a pedido de una semana está basado en Google Cloud Platform Big Data and Machine Learning Fundamentals. Mediante una serie de presentaciones, demostraciones y labs prácticos dictados por un instructor, los participantes aprenderán a...
Read more
Este curso acelerado a pedido de una semana está basado en Google Cloud Platform Big Data and Machine Learning Fundamentals. Mediante una serie de presentaciones, demostraciones y labs prácticos dictados por un instructor, los participantes aprenderán a realizar procesamiento de canalizaciones, análisis y almacenamiento de datos no-ops.
Requisitos previos:
• Google Cloud Platform Big Data and Machine Learning Fundamentals
• Experiencia en el lenguaje de consulta de tipo SQL para analizar datos
• Conocimientos de Python o Java
Notas sobre la Cuenta de Google:
• Los servicios de Google no están disponibles en China.
Register for this course and see more details by visiting:
OpenCourser.com/course/p9ewj9/serverless
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what to watch for , and
possible dealbreakers
Teaches the fundamentals of Google Cloud Platform Big Data and Machine Learning
Ideal for those with some experience in SQL data analysis
Additional experience in Python or Java is also beneficial
Offers hands-on labs and interactive materials
Taught by Google Cloud Training, who are recognized experts in their field
May be a good fit for those looking to build a foundation in Google Cloud Platform and machine learning
Save this course
Save Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español to your list so you can find it easily later:
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Reviews summary
Spanish-language data analytics with bigquery and dataflow
Learners enjoy the structured content presented in this Spanish-language course, finding the labs especially helpful in developing data analysis skills. Some mention issues with specific labs and recommend a thorough understanding of Python for full comprehension.
The course provides clear and well-structured examples.
"...Bien estructurado y con ejemplos muy claros..."
Hands-on labs enhance understanding.
"...Excelente curso, practico y muy útil para comenzar desde cero..."
The Spanish translation has some inaccuracies.
"...Translation to spanish is not good..."
Some labs have issues, requiring multiple executions to pass.
"...two or three labs had issues, because the guide was not exact and one of them i have to restarted because did not register my advance..."
A solid understanding of Python is necessary for full comprehension.
"...Lo única dificultad que he encontrado está en que hay parte del código que necesita un buen conocimiento sobre programación en Python para poder comprenderlo adecuadamente."
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 Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español with these
activities:
Read 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3'
Show steps
Gain a deeper understanding of machine learning concepts by reading the book 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3'.
View
Hands-on Machine Learning with Scikit-Learn,...
on Amazon
Show steps
-
Purchase or borrow the book
-
Read the chapters relevant to the course material
-
Complete the exercises and quizzes provided in the book
Review SQL basics
Show steps
Refresh your SQL skills to enhance your ability to analyze and query data.
Browse courses on
SQL
Show steps
-
Review online tutorials or documentation on SQL basics
-
Practice writing SQL queries on a sample database
-
Test your understanding by solving SQL challenges
Follow the Google Cloud Big Data and Machine Learning Fundamentals tutorial
Show steps
Complete the Google Cloud Big Data and Machine Learning Fundamentals tutorial to gain a solid foundation in the core concepts covered in this course.
Browse courses on
Machine Learning Fundamentals
Show steps
-
Visit the tutorial website and create an account
-
Follow the step-by-step instructions provided in the tutorial
-
Complete the hands-on exercises and quizzes to test your understanding
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group or discussion forum
Show steps
Connect with peers and engage in discussions to enhance your understanding of the course material and learn from others.
Show steps
-
Find a study group or discussion forum related to the course
-
Introduce yourself and participate in discussions
-
Share your knowledge and help others
Organize and review course materials
Show steps
Organize and review the course materials to improve your understanding and retention of the key concepts.
Show steps
-
Gather all the course materials (slides, notes, assignments)
-
Create a system for organizing the materials
-
Review the materials regularly
Solve coding challenges on LeetCode
Show steps
Practice your coding skills by solving coding challenges on LeetCode to reinforce your understanding of data structures and algorithms.
Browse courses on
Coding Challenges
Show steps
-
Create an account on LeetCode
-
Choose a problem to solve
-
Implement your solution in Python or Java
-
Submit your solution and review the feedback
Attend a workshop on data science or machine learning
Show steps
Expand your knowledge and skills by attending a workshop on a specific topic related to the course.
Show steps
-
Research and identify relevant workshops
-
Register for the workshop
-
Attend the workshop and actively participate
Build a data visualization dashboard
Show steps
Create a data visualization dashboard to showcase your skills in data analysis and presentation.
Browse courses on
Data Visualization
Show steps
-
Gather data from relevant sources
-
Clean and preprocess the data
-
Choose appropriate visualizations for the data
-
Create a visually appealing and informative dashboard
Read 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3'
Show steps
Gain a deeper understanding of machine learning concepts by reading the book 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3'.
View
Hands-on Machine Learning with Scikit-Learn,...
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book
- Read the chapters relevant to the course material
- Complete the exercises and quizzes provided in the book
Review SQL basics
Show steps
Refresh your SQL skills to enhance your ability to analyze and query data.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review online tutorials or documentation on SQL basics
- Practice writing SQL queries on a sample database
- Test your understanding by solving SQL challenges
Follow the Google Cloud Big Data and Machine Learning Fundamentals tutorial
Show steps
Complete the Google Cloud Big Data and Machine Learning Fundamentals tutorial to gain a solid foundation in the core concepts covered in this course.
Browse courses on
Machine Learning Fundamentals
Show steps
Show steps
Show steps
- Visit the tutorial website and create an account
- Follow the step-by-step instructions provided in the tutorial
- Complete the hands-on exercises and quizzes to test your understanding
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group or discussion forum
Show steps
Connect with peers and engage in discussions to enhance your understanding of the course material and learn from others.
Show steps
Show steps
Show steps
- Find a study group or discussion forum related to the course
- Introduce yourself and participate in discussions
- Share your knowledge and help others
Organize and review course materials
Show steps
Organize and review the course materials to improve your understanding and retention of the key concepts.
Show steps
Show steps
Show steps
- Gather all the course materials (slides, notes, assignments)
- Create a system for organizing the materials
- Review the materials regularly
Solve coding challenges on LeetCode
Show steps
Practice your coding skills by solving coding challenges on LeetCode to reinforce your understanding of data structures and algorithms.
Browse courses on
Coding Challenges
Show steps
Show steps
Show steps
- Create an account on LeetCode
- Choose a problem to solve
- Implement your solution in Python or Java
- Submit your solution and review the feedback
Attend a workshop on data science or machine learning
Show steps
Expand your knowledge and skills by attending a workshop on a specific topic related to the course.
Show steps
Show steps
Show steps
- Research and identify relevant workshops
- Register for the workshop
- Attend the workshop and actively participate
Build a data visualization dashboard
Show steps
Create a data visualization dashboard to showcase your skills in data analysis and presentation.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather data from relevant sources
- Clean and preprocess the data
- Choose appropriate visualizations for the data
- Create a visually appealing and informative dashboard
Career center
Learners who complete Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español can help you start or advance in your career as a Data Engineer. This course will build a foundation for you in the principles of storing and analyzing big data using Google Cloud technologies. This course also introduces you to writing and testing data processing functions using a popular open-source platform called Apache Beam. Mastering these skills can help enhance your marketability in a competitive job market.
Data Architect
Data Architect
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español can serve as a stepping stone in your journey to becoming a Data Architect. This course will build a foundation for you in the concepts and best practices of analyzing and processing data at scale. This course will also introduce you to designing scalable data pipelines using Apache Beam and Google Cloud technologies, a skill set sought after by many employers.
Data Analyst
Data Analyst
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español can help you get started or advance in your career as a Data Analyst. This course will provide you with a solid foundation in the fundamentals of data analysis using Google Cloud technologies. This course also introduces you to manipulating and cleaning data, a skill that is highly sought after by many employers.
Big Data Engineer
Big Data Engineer
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be helpful to you in your pursuit of becoming a Big Data Engineer. This course will build a foundation for you in the various concepts and techniques used to store, process, and analyze big data using Google Cloud technologies. This course also introduces you to developing ETL pipelines, a skill that is essential for Big Data Engineers.
Data Scientist
Data Scientist
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be helpful to you in your journey to becoming a Data Scientist. This course will build a foundation for you in leveraging popular tools and technologies used in data science. This course also introduces you to extracting insights from raw data, a vital skill for Data Scientists.
Statistician
Statistician
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español can help you in your journey to become a Statistician. This course will provide you with a foundation in the use of statistical techniques and tools to analyze data using Google Cloud technologies. This course also introduces you to modeling and forecasting techniques, skills that are essential for Statisticians.
Software Engineer
Software Engineer
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be helpful as you pursue a career as a Software Engineer with a focus on data. This course will build a foundation for you in the principles of building scalable and reliable data pipelines using Google Cloud technologies. This course also introduces you to developing and testing data processing functions using Apache Beam, a skill that is essential for many Software Engineers.
Machine Learning Engineer
Machine Learning Engineer
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be helpful to you in your pursuit of becoming a Machine Learning Engineer. This course will provide you with a foundation in the concepts and tools used for building machine learning models using Google Cloud technologies. This course also introduces you to data preparation and feature engineering techniques, skills that are essential for Machine Learning Engineers.
Business Intelligence Analyst
Business Intelligence Analyst
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be helpful in your pursuit of becoming a Business Intelligence Analyst. This course will build a foundation for you in the essential concepts of data analysis and reporting using Google Cloud technologies. This course also introduces you to extracting insights from raw data, a vital skill for Business Intelligence Analysts.
Cloud Engineer
Cloud Engineer
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be helpful as you pursue a career as a Cloud Engineer with a focus on data. This course will provide you with a solid foundation in the fundamental concepts of designing and managing data pipelines using Google Cloud technologies. This course also introduces you to data storage and processing technologies such as BigQuery and Apache Beam, which are widely used by Cloud Engineers.
Data Warehouse Architect
Data Warehouse Architect
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be helpful in your pursuit of becoming a Data Warehouse Architect. This course will build a foundation for you in the principles of designing and managing data warehouses using Google Cloud technologies. This course also introduces you to data integration and modeling techniques, essential skills for Data Warehouse Architects.
Data Security Engineer
Data Security Engineer
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be helpful in your pursuit of becoming a Data Security Engineer. This course will help you develop a foundation in the principles of securing data and data pipelines using Google Cloud technologies. This course also introduces you to data encryption and access control techniques, skills that are essential for Data Security Engineers.
Data Governance Analyst
Data Governance Analyst
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be helpful in your pursuit of becoming a Data Governance Analyst. This course will build a foundation for you in the principles of managing and governing data using Google Cloud technologies. This course also introduces you to data lineage and data quality techniques, essential skills for Data Governance Analysts.
Data Integration Engineer
Data Integration Engineer
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be useful in your pursuit of becoming a Data Integration Engineer. This course will build a foundation for you in the principles of integrating and managing data from multiple sources using Google Cloud technologies. This course also introduces you to data transformation and cleansing techniques, skills that are essential for Data Integration Engineers.
Database Administrator
Database Administrator
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español may be helpful to you as you work toward becoming a Database Administrator. This course will build a foundation for you in the principles of managing and maintaining data using Google Cloud technologies such as BigQuery. This course also introduces you to data modeling and optimization techniques, essential skills for Database Administrators.
For more career information including salaries, visit:
OpenCourser.com/course/p9ewj9/serverless
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
Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español.
Provides a practical guide to data analysis using Python, covering topics such as data cleaning, data manipulation, data visualization, and statistical analysis. It good choice for beginners who want to learn about data analysis using Python.
Save
Provides a practical guide to data science using R, covering topics such as data collection, data cleaning, data analysis, and data visualization. It good choice for beginners who want to learn about data science using R.
Save
Provides a practitioner's approach to deep learning, covering topics such as deep learning architecture, deep learning algorithms, and deep learning applications. It good choice for professionals who want to learn about deep learning.
Provides a master's guide to machine learning using Scikit-Learn, covering topics such as Scikit-Learn architecture, Scikit-Learn algorithms, and Scikit-Learn applications. It good choice for professionals who want to learn about machine learning using Scikit-Learn.
Provides a Bayesian and optimization perspective on machine learning, covering topics such as Bayesian inference, Bayesian optimization, and Bayesian applications. It good choice for professionals who want to learn about machine learning from a Bayesian perspective.
Provides a practical introduction to natural language processing, covering topics such as text preprocessing, tokenization, stemming, and lemmatization. It good choice for beginners who want to learn about natural language processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/p9ewj9/serverless
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Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
This course belongs to a
collection
called
Data Engineering on Google Cloud Platform en Español. It's comprised of five courses:
- Google Cloud Big Data and Machine Learning Fundamentals en Español
- Building Resilient Streaming Systems on Google Cloud Platform en Español
- Serverless Machine Learning con TensorFlow en GCP
- Serverless Data Analysis with Google BigQuery and Cloud Dataflow en Español (viewing)
- Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform en Español
Good to know
Teaches the fundamentals of Google Cloud Platform Big Data and Machine Learning
Ideal for those with some experience in SQL data analysis
Additional experience in Python or Java is also beneficial
Offers hands-on labs and interactive materials
Taught by Google Cloud Training, who are recognized experts in their field
May be a good fit for those looking to build a foundation in Google Cloud Platform and machine learning
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