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Google Cloud Training
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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What's inside
Syllabus
Introduction to Professional Data Engineer (PDE) Certification
Welcome to Preparing for the Professional Cloud Data Engineer Journey. In this introductory module, you learn about the role of a Professional Data Engineer. We discuss the types of resources available to support your study, and how to use the workbook to create your study plan.
Read more
Syllabus
Introduction to Professional Data Engineer (PDE) Certification
Welcome to Preparing for the Professional Cloud Data Engineer Journey. In this introductory module, you learn about the role of a Professional Data Engineer. We discuss the types of resources available to support your study, and how to use the workbook to create your study plan.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Guides learners how to prepare for the Google Cloud Professional Data Engineer (PDE) Certification
Delves into data processing systems, data ingestion and processing, data storage, data for analysis, and workload maintenance
Prepares learners for the Professional Data Engineer (PDE) Certification exam
Offers diagnostic questions to assess learners' skills in each section of the exam
Provides a structured approach to preparing for the exam, with a focus on identifying areas for improvement
Taught by Google Cloud Training, which has a strong reputation in the field
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Reviews summary
Preparing for pde certification exam
According to learners, this course provides a positive foundation specifically for preparing for the Professional Data Engineer (PDE) certification exam. Students find it helpful for understanding the exam scope and domains covered. The diagnostic questions are frequently mentioned as a valuable tool for self-assessment and identifying knowledge gaps, which directly aids in creating a personalized study plan. While some learners note it's an overview and not a deep dive into the technologies themselves, many appreciate how it points towards necessary external resources for further study. It is considered a useful initial step in the certification journey, particularly for understanding what to study.
Provides breadth, not deep technical detail.
"Keep in mind this is purely a preparation course, not a course teaching the technologies in depth."
"It's more of a roadmap to the exam than a technical deep dive into GCP services."
"Don't expect to learn the core concepts here; it's about understanding what the exam covers."
Directs learners to official study materials.
"The links to official documentation and other resources were very helpful."
"Points you towards the right materials to study after assessing your weak areas."
"Provides a good list of external resources to use for deeper learning."
Helps structure an individualized study plan.
"Building a personalized study plan based on my assessment was the most beneficial part."
"The workbook and guidance on creating a study plan were very practical."
"This course gave me a clear path and structure for my PDE certification study journey."
Diagnostic quizzes help assess readiness.
"The diagnostic questions were crucial in showing me where my knowledge gaps were."
"I found the mini quizzes at the end of each section really useful for checking my understanding."
"The diagnostic questions helped me gauge my readiness for each exam domain."
Focuses specifically on PDE exam readiness.
"This course is an excellent resource for getting ready for the Professional Data Engineer certification exam."
"Helped me understand the scope and format of the PDE exam."
"Great overview of what is needed to pass the PDE exam and how to approach the preparation."
"I appreciate how this course is structured around the actual PDE exam domains."
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 your Professional Data Engineer Journey with these
activities:
Create a Comprehensive Study Resource
Show steps
Organize and consolidate your learning materials to enhance your understanding and retention.
Show steps
-
Compile notes, assignments, quizzes, and exams from the course.
-
Review and summarize key concepts, definitions, and formulas.
-
Create flashcards or visual aids to aid in memorization and recall.
-
Organize your study materials into a logical structure, such as by topic or chapter.
Explore Cloud Data Warehousing Concepts
Show steps
Deepen your understanding of cloud data warehousing concepts and their application in real-world scenarios.
Browse courses on
Cloud Data Warehousing
Show steps
-
Identify and follow online tutorials or video courses that provide a comprehensive overview of cloud data warehousing concepts.
-
Explore documentation and resources provided by cloud data warehousing vendors such as Google BigQuery, Amazon Redshift, or Microsoft Azure Synapse.
-
Attend webinars or online meetups hosted by industry experts to gain insights into best practices and case studies.
Practice Data Transformation Techniques
Show steps
Engage in hands-on practice to enhance your skills in transforming and manipulating data.
Browse courses on
Data Manipulation
Show steps
-
Utilize online platforms or textbooks to find practice exercises involving data transformation techniques.
-
Work through examples and tutorials to gain experience in using specific data transformation tools and techniques.
-
Participate in online forums or communities to discuss and solve data transformation challenges.
Three other activities
Expand to see all activities and additional details
Show all six activities
Build a Personal Data Management System
Show steps
Enhance your practical skills by building a personal data management system to organize and manage your own data.
Browse courses on
Data Organization
Show steps
-
Identify the types of data you want to manage, such as personal documents, financial information, or health records.
-
Choose appropriate tools and technologies to store and organize your data, such as spreadsheets, databases, or cloud storage services.
-
Design a system that meets your specific needs, including data categorization, data security, and data backup procedures.
-
Implement the data management system and regularly maintain and update it to ensure its effectiveness.
Participate in Data Science Hackathons
Show steps
Challenge yourself and test your skills by participating in data science hackathons or competitions.
Browse courses on
Kaggle Competitions
Show steps
-
Identify and register for data science hackathons or competitions that align with your interests and skill level.
-
Form a team or work independently to tackle the competition problem or challenge.
-
Apply your knowledge and skills to develop innovative data-driven solutions.
-
Present your findings and compete against other participants for recognition and prizes.
Design and Implement a Data Pipeline
Show steps
Gain practical experience by designing and implementing a data pipeline that addresses a real-world problem.
Show steps
-
Identify a specific problem or use case that requires a data pipeline solution.
-
Design the architecture of the data pipeline, including data sources, transformations, and destination.
-
Implement the data pipeline using appropriate tools and technologies, such as Apache Beam, Airflow, or Cloud Composer.
-
Test and evaluate the performance of the data pipeline to ensure it meets the desired requirements.
Create a Comprehensive Study Resource
Show steps
Organize and consolidate your learning materials to enhance your understanding and retention.
Show steps
Show steps
Show steps
- Compile notes, assignments, quizzes, and exams from the course.
- Review and summarize key concepts, definitions, and formulas.
- Create flashcards or visual aids to aid in memorization and recall.
- Organize your study materials into a logical structure, such as by topic or chapter.
Explore Cloud Data Warehousing Concepts
Show steps
Deepen your understanding of cloud data warehousing concepts and their application in real-world scenarios.
Browse courses on
Cloud Data Warehousing
Show steps
Show steps
Show steps
- Identify and follow online tutorials or video courses that provide a comprehensive overview of cloud data warehousing concepts.
- Explore documentation and resources provided by cloud data warehousing vendors such as Google BigQuery, Amazon Redshift, or Microsoft Azure Synapse.
- Attend webinars or online meetups hosted by industry experts to gain insights into best practices and case studies.
Practice Data Transformation Techniques
Show steps
Engage in hands-on practice to enhance your skills in transforming and manipulating data.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Utilize online platforms or textbooks to find practice exercises involving data transformation techniques.
- Work through examples and tutorials to gain experience in using specific data transformation tools and techniques.
- Participate in online forums or communities to discuss and solve data transformation challenges.
Three other activities
Expand to see all activities and additional details
Show all six activities
Build a Personal Data Management System
Show steps
Enhance your practical skills by building a personal data management system to organize and manage your own data.
Browse courses on
Data Organization
Show steps
Show steps
Show steps
- Identify the types of data you want to manage, such as personal documents, financial information, or health records.
- Choose appropriate tools and technologies to store and organize your data, such as spreadsheets, databases, or cloud storage services.
- Design a system that meets your specific needs, including data categorization, data security, and data backup procedures.
- Implement the data management system and regularly maintain and update it to ensure its effectiveness.
Participate in Data Science Hackathons
Show steps
Challenge yourself and test your skills by participating in data science hackathons or competitions.
Browse courses on
Kaggle Competitions
Show steps
Show steps
Show steps
- Identify and register for data science hackathons or competitions that align with your interests and skill level.
- Form a team or work independently to tackle the competition problem or challenge.
- Apply your knowledge and skills to develop innovative data-driven solutions.
- Present your findings and compete against other participants for recognition and prizes.
Design and Implement a Data Pipeline
Show steps
Gain practical experience by designing and implementing a data pipeline that addresses a real-world problem.
Show steps
Show steps
Show steps
- Identify a specific problem or use case that requires a data pipeline solution.
- Design the architecture of the data pipeline, including data sources, transformations, and destination.
- Implement the data pipeline using appropriate tools and technologies, such as Apache Beam, Airflow, or Cloud Composer.
- Test and evaluate the performance of the data pipeline to ensure it meets the desired requirements.
Career center
Learners who complete Preparing for your Professional Data Engineer Journey will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, constructing, and maintaining data pipelines that turn raw data into products that meet business needs. This course helps build a foundation for success in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Data Architect
Data Architect
A Data Architect is responsible for designing and managing the architecture of an organization's data systems. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Data Scientist
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing and deploying machine learning models. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business needs and developing solutions to meet those needs. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Product Manager
Product Manager
A Product Manager is responsible for defining and managing the roadmap for a product. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Sales Manager
Sales Manager
A Sales Manager is responsible for managing a sales team and achieving sales goals. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making recommendations on investments. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Human Resources Manager
Human Resources Manager
A Human Resources Manager is responsible for managing the human resources function of an organization. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Operations Manager
Operations Manager
An Operations Manager is responsible for managing the day-to-day operations of an organization. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
For more career information including salaries, visit:
OpenCourser.com/course/c9ct4u/preparing
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 your Professional Data Engineer Journey.
Provides a good overview of the techniques and principles involved in designing and building data-intensive applications. It covers a wide range of topics, from data modeling to distributed systems.
Provides a comprehensive overview of Spark, a popular open-source framework for distributed data processing.
Provides a comprehensive overview of data governance. It covers a wide range of topics, from data governance principles to data governance best practices.
Save
Provides a clear and concise introduction to data modeling. It covers a wide range of topics, from data modeling concepts to data modeling tools.
Provides a comprehensive overview of Hadoop, a popular open-source framework for distributed data processing.
Provides a clear and concise introduction to data ethics. It covers a wide range of topics, from data ethics principles to data ethics best practices.
Provides a clear and concise introduction to artificial intelligence for data scientists. It covers a wide range of topics, from AI concepts to AI algorithms.
Provides a clear and concise introduction to Python for data science. It covers a wide range of topics, from Python basics to Python libraries for data science.
Save
Provides a clear and concise introduction to R for data science. It covers a wide range of topics, from R basics to R libraries for data science.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/c9ct4u/preparing
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Effort
1 week of study, 6-8 hours/week
Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
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