Preparing for your Professional Data Engineer Journey from Coursera

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.

Designing Data Processing Systems

In this module, you’ll explore considerations for designing data processing systems, which correspond to section 1 of the Professional Data Engineer Exam Guide. You start by discussing how a Professional Data Engineer performs this role at Cymbal Retail. Next, you’ll assess your skills in this section through 10 diagnostic questions. Then you’ll review these questions. Based on the areas you need to learn more about, you’ll identify resources to include in your study plan.

Ingesting and Processing Data

In this module you’ll explore considerations for ingesting and processing data, which corresponds to section 2 of the Professional Data Engineer Exam Guide. You’ll start by discussing how a Professional Data Engineer performs this role at Cymbal Retail. Next, you’ll assess your skills in this section through 10 diagnostic questions. Then you’ll review these questions. Based on the areas you need to learn more about, you’ll identify resources to include in your study plan.

Storing Data

In this module you’ll explore considerations for storing data, which corresponds to section 3 of the Professional Data Engineer Exam Guide. You start by discussing how a Professional Data Engineer performs this role at Cymbal Retail. Next, you’ll assess your skills in this section through 10 diagnostic questions. Then you’ll review these questions. Based on the areas you need to learn more about, you’ll identify resources to include in your study plan.

Preparing and Using Data for Analysis

In this module, you’ll explore considerations when preparing and using data for analysis, which corresponds to section 4 of the Professional Data Engineer Exam Guide. You start by discussing how a Professional Data Engineer performs this role at Cymbal Retail. Next, you’ll assess your skills in this section through 10 diagnostic questions. Then you’ll review these questions. Based on the areas you need to learn more about, you’ll identify resources to include in your study plan.

Maintaining and Automating Data Workloads

In this module you’ll explore considerations for maintaining and automating data workloads, which corresponds to section 5 of the Professional Data Engineer Exam Guide. You start by discussing how a Professional Data Engineer performs this role at Cymbal Retail. Next, you’ll assess your skills in this section through 10 diagnostic questions. Then you’ll review these questions. Based on the areas you need to learn more about, you’ll identify resources to include in your study plan.

Summary

In this module, you focus on creating your individualized study plan. You will use the notes you’ve been taking throughout this course to put together a study plan for each week in your Professional Data Engineer journey.

Good to know

Know what's good

, what to watch for

, 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

Reviews summary

Industry-recognized data engineering certification

Students say this course is a largely positive preparation guide for the Google Cloud Certified Professional Data Engineer exam. The well structured material helps learners become familiar with the key concepts and technologies needed to succeed in the exam. Students appreciate the real-world labs and engaging assignments that allow them to practice applying their knowledge.

Course provides a thorough review of the material covered in the previous courses in the specialization.

"Excellent course, as a guide to prepare for certification exam."

"This course is indeed hard to pass, but it help you to feel the real exam environment"

"This is a great source to prepare for GCP Data Engineer Exam"

Hands-on labs and practical case studies help students apply their knowledge and identify areas for improvement.

"Very good explanation and well supported lab."

"The instructor for this final course is a great communicator. I enjoyed the Challenge Labs, which are similar to those found on the Qwiklabs stand-alone service."

"It was asesome to be able to interact on real labs"

The course helps students identify their weaknesses and focus their preparation for the exam.

"Very useful to pinpoint weak areas in the prep process."

"Greta course. Helps you to quickly identify areas you do not have a enough knowledge. "

"The touchstone concept is very helpful in highlighting which find out which components and services to study in greater detail again."

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

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Organize and consolidate your learning materials to enhance your understanding and retention.

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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

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Deepen your understanding of cloud data warehousing concepts and their application in real-world scenarios.

Browse courses on Cloud Data Warehousing

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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

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Engage in hands-on practice to enhance your skills in transforming and manipulating data.

Browse courses on Data Manipulation

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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

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Build a Personal Data Management System

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Enhance your practical skills by building a personal data management system to organize and manage your own data.

Browse courses on Data Organization

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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

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Challenge yourself and test your skills by participating in data science hackathons or competitions.

Browse courses on Kaggle Competitions

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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

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Gain practical experience by designing and implementing a data pipeline that addresses a real-world problem.

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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

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Business 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.

See salaries and explore the career path for Data Analyst

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.

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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.

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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.

See salaries and explore the career path for Sales 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.

See salaries and explore the career path for Marketing Manager

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.

See salaries and explore the career path for Financial Analyst

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.

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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.

See salaries and explore the career path for Operations Manager