We may earn an affiliate commission when you visit our partners.
Course image
Google Cloud Training

このコースは、受験資格のある受験者が自信を持って試験を受けられるように支援する情報、およびまだ受験資格のない方が試験対策を進める際に役立つ情報を提供します。

Enroll now

What's inside

Syllabus

本コースについて
はじめに
Professional Data Engineer 認定資格について
認定資格試験に関する基本的な知識を習得し、試験のプロセスや性質に関する混同や誤解を取り除きます。
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
試験対策のヒントと例を提供し、試験を受ける準備をサポートする。
信頼性、ポリシー、セキュリティ、コンプライアンスのスキルに関するヒントと例をカバーする。
入学資格のない受験者でも、試験対策を始めるのに役立つ情報を提供する。
業界認定であるため、資格取得者は履歴書に記載することで、ビジネス上の信頼を高めることができる。
大規模データの処理、分析、機械学習のモデル運用化、データシステムの設計や構築などの、データエンジニアに求められる幅広いスキルに関するヒントと例を提供する。
Google Cloud Trainingの講師による指導で、業界の専門知識を得られる。

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Google cloud data engineer 試験準備概要

受講生によると、このコースは Google Cloud Professional Data Engineer 認定試験の概要を掴むのに優れた出発点となることが多いようです。特に、各サービスの役割や全体像の理解に役立つという声が多く聞かれます。しかし、実際の試験に合格するためには、このコースだけでは不十分であると感じる受講生も少なくありません。より深い知識や実践的な経験が別途必要になるという意見が複数あります。一部の受講生は、ラボ演習が特に有用だったと述べています。コースの内容が概論的なレベルに留まっているため、試験対策としては物足りなさを感じる場合がある点に注意が必要です。
初学者向けか、経験者向けかで評価が分かれる。
"GCP初心者には良い入門になるだろうが、ある程度経験があると物足りないかも。"
"私は実務経験があったので、復習と試験範囲の確認には良かったが、新しい知識は少なかった。"
"全くの未経験からだと少し難しく感じるかもしれない。他の基礎コースで補った方が良いか?"
実践的な理解を助けるラボは有用。
"付随するラボ演習は、理解を深める上で非常に効果的でした。"
"座学だけでは分かりにくい部分が、ラボで実際に試すことで納得できた。"
"ハンズオンは少なかったが、付属のラボはポイントを押さえていて助かった。"
GCPサービスの全体像を掴むのに有効。
"GCPのデータ関連サービスの全体像を理解するのに非常に役立ちました。"
"各サービスの位置付けや関連性がクリアになり、何を学ぶべきかが見えた。"
"データエンジニアリングの幅広い分野について、どこから手をつければ良いか分からなかったが、このコースで道筋が見えた気がする。"
一部情報が古くなっている可能性。
"リリースから時間が経っており、新しいサービスや機能に関する言及が少ないように感じた。"
"試験範囲の変更などに対応するため、定期的なアップデートがあれば更に良い。"
"内容は良いが、GCPは変化が速いので、情報が最新か確認しながら進める必要がある。"
合格には追加学習や実務経験が必要。
"このコースだけでは試験に受かるのは難しいと感じた。より深く、実際に手を動かすことが重要。"
"コース内容は概論的で、実際の試験レベルには達していない。補足的な学習が必須。"
"試験対策の「準備」としては良いが、これだけで全てが網羅されるわけではない。実務経験やハンズオンがやはり必要。"

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 日本語版 with these activities:
整理:コース資料のまとめ
コース資料を整理することで、学習内容をより簡単にレビューして理解することができます。
Show steps
  • 講義ノート、スライド、課題を整理する
  • 重要な概念と用語の要約を作成する
  • 関連するリソースや追加資料をまとめる
Show all one activities

Career center

Learners who complete Preparing for the Google Cloud Professional Data Engineer Exam 日本語版 will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers implement and maintain data pipelines, ensuring that data is transformed, integrated, and delivered reliably. This course may be useful to those who are interested in entering or advancing their career in Data Engineering, as it provides a foundation in the principles and practices of data processing systems design, data analysis, and machine learning operations. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Architect
Data Architects design and implement data management solutions that meet the needs of an organization. This course may be useful to those who are interested in entering or advancing their career in Data Architecture, as it provides a foundation in the principles and practices of data processing systems design, data analysis, and machine learning operations. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Scientist
Data Scientists use their knowledge of data analysis, machine learning, and statistics to extract insights from data. This course may be useful to those who are interested in entering or advancing their career in Data Science, as it provides a foundation in the principles and practices of data processing systems design, data analysis, and machine learning operations. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Machine Learning Engineer
Machine Learning Engineers design and implement machine learning models to solve real-world problems. This course may be useful to those who are interested in entering or advancing their career in Machine Learning Engineering, as it provides a foundation in the principles and practices of data processing systems design, data analysis, and machine learning operations. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful to those who are interested in entering or advancing their career in Software Engineering, as it provides a foundation in the principles and practices of data processing systems design and implementation. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. This course may be useful to those who are interested in entering or advancing their career in Data Analysis, as it provides a foundation in the principles and practices of data processing systems design and data analysis. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Cloud Architect
Cloud Architects design and implement cloud computing solutions that meet the needs of an organization. This course may be useful to those who are interested in entering or advancing their career in Cloud Architecture, as it provides a foundation in the principles and practices of data processing systems design and implementation. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This course may be useful to those who are interested in entering or advancing their career in DevOps Engineering, as it provides a foundation in the principles and practices of data processing systems design and implementation. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Database Administrator
Database Administrators manage and maintain databases. This course may be useful to those who are interested in entering or advancing their career in Database Administration, as it provides a foundation in the principles and practices of data processing systems design and database management. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Business Analyst
Business Analysts work with stakeholders to define and analyze business needs. This course may be useful to those who are interested in entering or advancing their career in Business Analysis, as it provides a foundation in the principles and practices of data processing systems design and data analysis. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Project Manager
Project Managers plan and execute projects. This course may be useful to those who are interested in entering or advancing their career in Project Management, as it provides a foundation in the principles and practices of data processing systems design and project management. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Visualization Specialist
Data Visualization Specialists design and create data visualizations that communicate data insights to stakeholders. This course may be useful to those who are interested in entering or advancing their career in Data Visualization, as it provides a foundation in the principles and practices of data processing systems design and data visualization. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Integration Specialist
Data Integration Specialists design and implement data integration solutions. This course may be useful to those who are interested in entering or advancing their career in Data Integration, as it provides a foundation in the principles and practices of data processing systems design and data integration. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Governance Specialist
Data Governance Specialists develop and implement data governance policies and procedures. This course may be useful to those who are interested in entering or advancing their career in Data Governance, as it provides a foundation in the principles and practices of data processing systems design and data governance. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.
Data Privacy Specialist
Data Privacy Specialists develop and implement data privacy policies and procedures. This course may be useful to those who are interested in entering or advancing their career in Data Privacy, as it provides a foundation in the principles and practices of data processing systems design and data privacy. By understanding the concepts covered in this course, individuals can prepare for the Google Cloud Professional Data Engineer Exam and gain the skills necessary to succeed in this highly sought-after field.

Reading list

We've selected 12 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 日本語版.
This study guide is designed to help you prepare for the Google Cloud Certified Professional Data Engineer exam. It covers all of the topics that are tested on the exam, and it includes practice questions and hands-on exercises to help you master the material.
Provides a comprehensive overview of the principles and practices of designing data-intensive applications. It covers a wide range of topics, including data modeling, data storage, data processing, and data analysis.
Provides a practical guide to building and deploying machine learning models. It covers a wide range of topics, including data preparation, model training, model evaluation, and model deployment.
この本は、アルゴリズムの基礎を学ぶためのアクセスしやすいガイドです。各アルゴリズムの直感的な説明と図解が含まれており、初心者にも理解しやすいようになっています。
Provides a practical guide to releasing software. It covers a wide range of topics, including release planning, release management, and release testing.
Provides a comprehensive overview of the principles and practices of site reliability engineering. It covers a wide range of topics, including system design, system monitoring, and incident response.
この本は、Apache Spark の包括的なガイドです。Spark の基本から高度なトピックまで、各トピックを網羅しています。
この本は、ビジネス上の意思決定にデータサイエンスを使用するための実践的なガイドです。データの収集と分析から、ビジネス上の洞察の抽出と意思決定への適用まで、各トピックを網羅しています。
この本は、一般的な SQL クエリの解決策を提供するリファレンスです。データの取得からデータの操作まで、各トピックを網羅しています。
この本は、Linux コマンドラインとシェルスクリプティングの包括的なガイドです。基本的なコマンドから高度なスクリプティングまで、各トピックを網羅しています。
この本は、Python プログラミング言語の包括的なリファレンスです。構文から標準ライブラリまで、各トピックを網羅しています。

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser