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Google Cloud Training
Por que fazer o curso: "A melhor forma de se preparar para o exame é ser competente nas habilidades necessárias ao trabalho."
Este curso usa uma abordagem "top-down". Ele identifica as habilidades que você já tem e apresenta novas informações e áreas para ampliar seus conhecimentos. Use este curso para criar seu plano de preparação personalizado. Ele ajudará você a identificar o que sabe e o que precisa estudar mais, além de desenvolver e praticar as habilidades necessárias às competências do cargo.
Read more
Por que fazer o curso: "A melhor forma de se preparar para o exame é ser competente nas habilidades necessárias ao trabalho."
Este curso usa uma abordagem "top-down". Ele identifica as habilidades que você já tem e apresenta novas informações e áreas para ampliar seus conhecimentos. Use este curso para criar seu plano de preparação personalizado. Ele ajudará você a identificar o que sabe e o que precisa estudar mais, além de desenvolver e praticar as habilidades necessárias às competências do cargo.
Read more
Por que fazer o curso: "A melhor forma de se preparar para o exame é ser competente nas habilidades necessárias ao trabalho."
Este curso usa uma abordagem "top-down". Ele identifica as habilidades que você já tem e apresenta novas informações e áreas para ampliar seus conhecimentos. Use este curso para criar seu plano de preparação personalizado. Ele ajudará você a identificar o que sabe e o que precisa estudar mais, além de desenvolver e praticar as habilidades necessárias às competências do cargo.
O curso segue a metodologia do Guia do exame. Ele apresenta conceitos mais abrangentes para você avaliar seu conhecimento na área e saber se precisa estudar mais. Você também vai aprender e praticar habilidades essenciais ao trabalho, como analisar casos, identificar pontos de controle técnicos e desenvolver soluções propostas. Essas habilidades também serão avaliadas no exame. Nos laboratórios com desafio, você colocará em prática seus conhecimentos básicos. Além disso, você verá exemplos de perguntas e soluções parecidas com as do exame. Ao final do curso, haverá um teste sem nota e depois outro com nota que simulam a experiência real do exame.
Register for this course and see more details by visiting:
OpenCourser.com/course/bgywpk/preparing
What's inside
Syllabus
Este é o curso "Preparing for the Professional Data Engineer Exam"
Descrição do módulo.
Como projetar sistemas de processamento de dados
Read more
Syllabus
Este é o curso "Preparing for the Professional Data Engineer Exam"
Descrição do módulo.
Como projetar sistemas de processamento de dados
Read more
Como criar e operacionalizar sistemas de processamento de dados
Como operacionalizar modelos de machine learning
Confiabilidade, política e segurança para garantir a qualidade da solução
Recursos e próximas etapas
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Destinado para pessoas que pretendem fazer o exame de Engenheiro de Dados Profissional
Utiliza uma abordagem prática, com ênfase no desenvolvimento de habilidades
Oferece desafios práticos e perguntas e soluções semelhantes às do exame
Save this course
Save Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro to your list so you can find it easily later:
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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 Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro with these
activities:
Review Cloud Computing
Show steps
Recalling and understanding core cloud computing concepts will prime you for new knowledge and skills in this course.
Browse courses on
Cloud Computing
Show steps
-
Read articles and tutorials on cloud computing concepts and terminology.
-
Review cloud computing use cases and examples.
-
Watch videos and presentations on different cloud services.
Attend Cloud Industry Meetups
Show steps
Networking with professionals in the field will provide you with valuable insights and connections.
Show steps
-
Identify local cloud industry meetup groups.
-
Attend meetups regularly.
-
Connect with other professionals and share knowledge.
Connect with Cloud Data Engineering Experts
Show steps
Finding a mentor will provide you with guidance and support throughout your learning journey.
Show steps
-
Attend industry events and meetups.
-
Reach out to professionals on LinkedIn.
-
Join online communities and forums.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Data Analysis with BigQuery
Show steps
Hands-on practice with BigQuery will help build your proficiency in data analysis techniques.
Browse courses on
BigQuery
Show steps
-
Generate visualizations and reports from your analysis.
-
Create a BigQuery dataset and load sample data.
-
Write SQL queries to analyze the data.
Follow Tutorials on Cloud Data Engineering
Show steps
Completing tutorials will reinforce your understanding of specific cloud data engineering concepts and techniques.
Show steps
-
Identify relevant tutorials (docs.google.com/spreadsheets/d/1Ue88JtJO2Pn6hT1GHuUrfNevpwex_dX2ScdPDmJ52mU/edit?usp=sharing)
-
Follow the tutorials step-by-step.
-
Practice the concepts and techniques covered in the tutorials.
Design a Data Processing System
Show steps
Create a plan for building a data processing system will enhance your understanding of the process.
Browse courses on
Data Processing
Show steps
-
Identify the data sources and data types.
-
Determine the data processing requirements and goals.
-
Choose appropriate tools and technologies for each stage of processing.
-
Design a system that is scalable, reliable, and secure.
Develop a Data Quality Assurance Plan
Show steps
Constructing a plan to ensure data quality will provide you with practical experience in this critical area.
Browse courses on
Data Quality
Show steps
-
Establish data quality metrics and standards.
-
Identify potential data quality issues and their impact.
-
Develop a process for monitoring data quality.
-
Define procedures for correcting and improving data quality.
-
Review and update the plan regularly.
Review Cloud Computing
Show steps
Recalling and understanding core cloud computing concepts will prime you for new knowledge and skills in this course.
Browse courses on
Cloud Computing
Show steps
Show steps
Show steps
- Read articles and tutorials on cloud computing concepts and terminology.
- Review cloud computing use cases and examples.
- Watch videos and presentations on different cloud services.
Attend Cloud Industry Meetups
Show steps
Networking with professionals in the field will provide you with valuable insights and connections.
Show steps
Show steps
Show steps
- Identify local cloud industry meetup groups.
- Attend meetups regularly.
- Connect with other professionals and share knowledge.
Connect with Cloud Data Engineering Experts
Show steps
Finding a mentor will provide you with guidance and support throughout your learning journey.
Show steps
Show steps
Show steps
- Attend industry events and meetups.
- Reach out to professionals on LinkedIn.
- Join online communities and forums.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Data Analysis with BigQuery
Show steps
Hands-on practice with BigQuery will help build your proficiency in data analysis techniques.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Generate visualizations and reports from your analysis.
- Create a BigQuery dataset and load sample data.
- Write SQL queries to analyze the data.
Follow Tutorials on Cloud Data Engineering
Show steps
Completing tutorials will reinforce your understanding of specific cloud data engineering concepts and techniques.
Show steps
Show steps
Show steps
- Identify relevant tutorials (docs.google.com/spreadsheets/d/1Ue88JtJO2Pn6hT1GHuUrfNevpwex_dX2ScdPDmJ52mU/edit?usp=sharing)
- Follow the tutorials step-by-step.
- Practice the concepts and techniques covered in the tutorials.
Design a Data Processing System
Show steps
Create a plan for building a data processing system will enhance your understanding of the process.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Identify the data sources and data types.
- Determine the data processing requirements and goals.
- Choose appropriate tools and technologies for each stage of processing.
- Design a system that is scalable, reliable, and secure.
Develop a Data Quality Assurance Plan
Show steps
Constructing a plan to ensure data quality will provide you with practical experience in this critical area.
Browse courses on
Data Quality
Show steps
Show steps
Show steps
- Establish data quality metrics and standards.
- Identify potential data quality issues and their impact.
- Develop a process for monitoring data quality.
- Define procedures for correcting and improving data quality.
- Review and update the plan regularly.
Career center
Learners who complete Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data systems. They work with data scientists and other engineers to ensure that data is available and accessible for analysis. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," can help you develop the skills you need to succeed in this role. The course covers a wide range of topics, including data processing, data storage, and data analytics. You will also learn how to use Google Cloud tools and services to build and manage data systems. By completing this course, you will be well-prepared for a career as a Data Engineer.
Data Scientist
Data Scientist
A Data Scientist is responsible for using data to solve business problems. They work with data engineers and other scientists to collect, analyze, and interpret data. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," can help you develop the skills you need to succeed in this role. The course covers a wide range of topics, including data processing, data storage, and data analytics. You will also learn how to use Google Cloud tools and services to build and manage data systems. By completing this course, you will be well-prepared for a career as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for building and deploying machine learning models. They work with data scientists and other engineers to develop and implement machine learning solutions. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," can help you develop the skills you need to succeed in this role. The course covers a wide range of topics, including data processing, data storage, and data analytics. You will also learn how to use Google Cloud tools and services to build and manage data systems. By completing this course, you will be well-prepared for a career as a Machine Learning Engineer.
Cloud Architect
Cloud Architect
A Cloud Architect is responsible for designing and implementing cloud solutions. They work with customers to understand their business needs and develop cloud solutions that meet those needs. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," can help you develop the skills you need to succeed in this role. The course covers a wide range of topics, including cloud computing, cloud architecture, and cloud security. You will also learn how to use Google Cloud tools and services to build and manage cloud solutions. By completing this course, you will be well-prepared for a career as a Cloud Architect.
Big Data Engineer
Big Data Engineer
A Big Data Engineer is responsible for designing and building big data systems. They work with data scientists and other engineers to collect, process, and analyze big data. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," can help you develop the skills you need to succeed in this role. The course covers a wide range of topics, including big data processing, big data storage, and big data analytics. You will also learn how to use Google Cloud tools and services to build and manage big data systems. By completing this course, you will be well-prepared for a career as a Big Data Engineer.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. They work with other IT professionals to ensure that databases are available and accessible for users. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," can be useful for aspiring Database Administrators. The course covers a wide range of topics, including database management, database security, and database performance. You will also learn how to use Google Cloud tools and services to build and manage databases.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, analyzing, and interpreting data. They work with other business professionals to identify trends and patterns in data and to make recommendations based on their findings. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," can be useful for aspiring Data Analysts. The course covers a wide range of topics, including data analysis, data visualization, and data mining. You will also learn how to use Google Cloud tools and services to collect, analyze, and interpret data.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, building, and testing software systems. They work with other engineers and IT professionals to develop and implement software solutions. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," may be useful for aspiring Software Engineers. The course covers a wide range of topics, including software development, software testing, and software maintenance. You will also learn how to use Google Cloud tools and services to build and manage software systems.
Data Architect
Data Architect
A Data Architect is responsible for designing and managing data systems. They work with other IT professionals to ensure that data systems meet the needs of the business. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," may be useful for aspiring Data Architects. The course covers a wide range of topics, including data architecture, data management, and data governance. You will also learn how to use Google Cloud tools and services to build and manage data systems.
IT Manager
IT Manager
An IT Manager is responsible for managing and overseeing an organization's IT infrastructure. They work with other IT professionals to ensure that IT systems are reliable and efficient. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," may be useful for aspiring IT Managers. The course covers a wide range of topics, including IT management, IT security, and IT governance. You will also learn how to use Google Cloud tools and services to build and manage IT systems.
Systems Analyst
Systems Analyst
A Systems Analyst is responsible for analyzing and designing business systems. They work with other IT professionals to develop and implement solutions to business problems. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," may be useful for aspiring Systems Analysts. The course covers a wide range of topics, including systems analysis, systems design, and systems implementation. You will also learn how to use Google Cloud tools and services to build and manage business systems.
Network Engineer
Network Engineer
A Network Engineer is responsible for designing and managing computer networks. They work with other IT professionals to ensure that networks are reliable and efficient. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," may be useful for aspiring Network Engineers. The course covers a wide range of topics, including network design, network management, and network security. You will also learn how to use Google Cloud tools and services to build and manage computer networks.
Security Analyst
Security Analyst
A Security Analyst is responsible for protecting an organization's IT systems from security threats. They work with other IT professionals to identify and mitigate security risks. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," may be useful for aspiring Security Analysts. The course covers a wide range of topics, including security analysis, security management, and security incident response. You will also learn how to use Google Cloud tools and services to protect IT systems from security threats.
Cloud Security Engineer
Cloud Security Engineer
A Cloud Security Engineer is responsible for protecting an organization's cloud infrastructure from security threats. They work with other IT professionals to identify and mitigate security risks. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," may be useful for aspiring Cloud Security Engineers. The course covers a wide range of topics, including cloud security, cloud security management, and cloud security incident response. You will also learn how to use Google Cloud tools and services to protect cloud infrastructure from security threats.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst is responsible for developing and implementing data governance policies and procedures. They work with other IT professionals to ensure that data is managed in a consistent and compliant manner. The course, "Preparing for the Google Cloud Professional Data Engineer Exam," may be useful for aspiring Data Governance Analysts. The course covers a wide range of topics, including data governance, data management, and data compliance. You will also learn how to use Google Cloud tools and services to build and manage data governance policies and procedures.
For more career information including salaries, visit:
OpenCourser.com/course/bgywpk/preparing
Reading list
We've selected ten 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 the Google Cloud Professional Data Engineer Exam em Português Brasileiro.
Save
Uses a concrete style of explanations that help beginners understand the concepts easily. It is especially useful for those interested in designing and building data-intensive applications with scalability and reliability.
Save
Covers the concepts and techniques of building streaming systems. It is especially useful for data engineers and software engineers who want to learn how to design, implement, and operate streaming systems.
Save
Offers a practical approach to building and managing big data systems. It covers the core concepts and best practices of big data, such as data storage, data processing, and data analytics.
Covers the concepts and techniques of machine learning using Python. It useful resource for beginners and intermediate-level machine learners who want to learn how to apply machine learning algorithms to real-world problems.
Covers the concepts and techniques of data science. It useful resource for beginners and intermediate-level data scientists who want to learn how to apply data science techniques to real-world problems.
Covers the concepts and techniques of data analysis using Python. It useful resource for beginners and intermediate-level data analysts who want to learn how to use Python for data analysis tasks.
Save
Covers the concepts and techniques of data science using R. It useful resource for beginners and intermediate-level data scientists who want to learn how to use R for data science tasks.
Covers the concepts and techniques of data manipulation using R. It useful resource for beginners and intermediate-level data analysts who want to learn how to use R for data manipulation tasks.
Introduces the fundamentals of deep learning and provides practical guidance on how to build and train deep learning models using fastai and PyTorch. It is especially useful for software engineers and data scientists who want to get started with deep learning.
Introduces the concepts and techniques of interpretable machine learning. It is especially useful for data scientists and machine learning practitioners who want to learn how to build machine learning models that are understandable and explainable.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/bgywpk/preparing
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Effort
1 semana de estudo, 6-8 horas/semana
Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Português
Transcript
English
Good to know
Destinado para pessoas que pretendem fazer o exame de Engenheiro de Dados Profissional
Utiliza uma abordagem prática, com ênfase no desenvolvimento de habilidades
Oferece desafios práticos e perguntas e soluções semelhantes às do exame
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