Google Cloud Big Data and Machine Learning Fundamentals 日本語版 from Coursera

What's inside

Syllabus

コース概要

このセクションでは、Big Data and Machine Learning Fundamentals コースの受講者向けにコースの構成と目標をおおまかに説明します。

Google Cloud でのビッグデータと ML

このセクションでは、Google Cloud のインフラストラクチャの主要コンポーネントについて説明します。Google Cloud におけるデータから AI へのライフサイクルをサポートする、ビッグデータと ML のさまざまなプロダクトおよびサービスを紹介します。

ストリーミングデータのデータエンジニアリング

このセクションでは、ストリーミングデータを管理するための Google Cloud ソリューションを紹介します。また、エンドツーエンドのパイプライン（Pub/Sub を使用したデータの取り込み、Dataflow を使用したデータ処理、Looker とデータポータルを使用したデータの可視化など）について詳しく説明します。

BigQuery によるビッグデータ

このセクションでは、Google が提供するフルマネージドのサーバーレスデータウェアハウスである BigQuery について紹介します。BigQuery ML と、カスタム ML モデルの構築に使用するプロセスや主なコマンドについても説明します。

Google Cloud での ML オプション

このセクションでは、Google Cloud で ML モデルを構築するための 4 つのオプションについて説明します。また、ML プロジェクトのライフサイクルを構築、管理するための Google 統合プラットフォームである Vertex AI についても紹介します。

Vertex AI による ML ワークフロー

このセクションでは、Vertex AI の ML ワークフローにおける 3 つの主なフェーズ（データの準備、モデルのトレーニング、モデルの準備）を中心に説明します。実際に AutoML を使用して ML モデルを構築することができます。

コースのまとめ

このセクションでは、コースで学習したトピックを復習し、理解を深めるための追加のリソースを提供しています。

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

応用データ分析、データエンジニア、AIエンジニアを目指す人に適しています

データサイエンティストや機械学習エンジニアを志す人も受講できます

Google Cloud Platformを使用してデータ分析やAI開発のスキルを習得できます

Google Cloud Platformで提供されるツールやサービスを使用するプロジェクトに取り組めます

ストリーミングデータの管理、データ処理、データ視覚化の手法を学習できます

ビッグデータ分析用に設計されたGoogle BigQueryの使用方法を習得できます

Reviews summary

Big data and machine learning fundamentals

Google Cloud Big Data and Machine Learning Fundamentals 日本語版 is a well-received course that offers a comprehensive overview of Google Cloud's big data and ML products and services. Students appreciate the course's structure and find the labs to be helpful in applying what they learn. However, some students have noted that the course could be improved with more up-to-date lab instructions and a more challenging level of difficulty.

Course is well organized and easy to follow.

"体系的に学べてよかった。"

Labs are a great way to apply what you learn.

"GCPのBig Data関連ソリューションを概観し、実際に試すことができて、非常に有用だった。"

Course is too easy for experienced learners.

"lab on actual GCP is a bit too easy for me"

Lab instructions need to be updated.

"ラボの説明書が古い。"

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 Google Cloud Big Data and Machine Learning Fundamentals 日本語版 with these activities:

Review Google Cloud concepts

Show steps

Reinforce your understanding of fundamental Google Cloud concepts to strengthen your foundation for this course.

Browse courses on Google Cloud

Show steps

Revisit documentation and tutorials on Google Cloud concepts
Practice using Google Cloud console

Follow Google Cloud tutorials

Show steps

Enhance your practical skills by completing guided tutorials on Google Cloud's big data and machine learning services.

Browse courses on Big Data

Show steps

Explore tutorials on streaming data management, BigQuery, and Vertex AI
Follow step-by-step instructions to create pipelines and models

Solve ML practice problems

Show steps

Deepen your understanding of ML concepts by solving practice problems.

Browse courses on Machine Learning

Show steps

Find practice problems on online platforms or textbooks
Attempt to solve problems using different ML algorithms
Check your solutions and identify areas for improvement

Five other activities

Expand to see all activities and additional details

Show all eight activities

Summarize key concepts

Show steps

Reinforce your understanding by creating summaries of key concepts covered in the course.

Show steps

Identify and outline main ideas from lectures and readings
Write concise and clear summaries

Join study groups

Show steps

Boost your learning through discussions and collaboration with peers.

Show steps

Form or join study groups with classmates
Discuss course materials, share insights, and solve problems together

Contribute to open source projects

Show steps

Apply your knowledge and gain practical experience by contributing to open source projects in the field of big data or machine learning.

Show steps

Identify open source projects related to course topics
Contribute code, documentation, or bug reports
Engage with the community and learn from other contributors

Create a resource repository

Show steps

Consolidate your learning materials by creating a repository of useful resources.

Show steps

Gather relevant articles, tutorials, and code snippets
Organize and categorize the resources
Share your repository with others

Contribute to community forums

Show steps

Engage with the community by answering questions and providing support in online forums related to course topics.

Show steps

Find online forums or communities focused on big data or machine learning
Monitor discussions and identify unanswered questions
Provide thoughtful and informative responses

Career center

Learners who complete Google Cloud Big Data and Machine Learning Fundamentals 日本語版 will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use data to solve problems and make decisions. They work with data engineers and other stakeholders to identify data needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of data science, including data analysis, machine learning, and data visualization. You will learn about Google Cloud's suite of data science tools and services, and how to use them to solve problems and make decisions.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They work with data scientists and other stakeholders to identify machine learning needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of machine learning, including data preparation, model training, and model deployment. You will learn about Google Cloud's suite of machine learning tools and services, and how to use them to build and manage machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Architect

Data Architects design and build data architectures that meet the needs of an organization. They work with stakeholders to understand data requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of data architecture, including data modeling, data storage, and data security. You will learn about Google Cloud's suite of data architecture tools and services, and how to use them to design and build data architectures.

See salaries and explore the career path for Data Architect

Data Engineer

Data Engineers design, build, and maintain data architectures and systems that store and manage large datasets. They work with data scientists and other stakeholders to identify data needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of big data engineering, including data storage, processing, and analysis. You will learn about Google Cloud's suite of big data tools and services, and how to use them to build and manage big data pipelines.

See salaries and explore the career path for Data Engineer

Big Data Engineer

Big Data Engineers are responsible for designing, building, and maintaining big data infrastructure and applications. They work with large and complex datasets, and use a variety of tools and technologies to store, process, and analyze data. This course can help you build a foundation in the principles and practices of big data engineering, including data storage, processing, and analysis. You will learn about Google Cloud's suite of big data tools and services, and how to use them to build and manage big data pipelines.

See salaries and explore the career path for Big Data Engineer

Database Administrator

Database Administrators design, build, and maintain databases. They work with stakeholders to understand database requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of database administration, including database design, database development, and database maintenance. You will learn about Google Cloud's suite of database administration tools and services, and how to use them to design, build, and maintain databases.

See salaries and explore the career path for Database Administrator

Cloud Security Engineer

Cloud Security Engineers design and implement security measures to protect cloud-based systems and data. They work with stakeholders to understand security requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of cloud security, including cloud security architecture, cloud security monitoring, and cloud security incident response. You will learn about Google Cloud's suite of cloud security tools and services, and how to use them to design and implement security measures to protect cloud-based systems and data.

See salaries and explore the career path for Cloud Security Engineer

Cloud Architect

Cloud Architects design and build cloud-based solutions. They work with stakeholders to understand business needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of cloud architecture, including cloud computing, cloud storage, and cloud security. You will learn about Google Cloud's suite of cloud architecture tools and services, and how to use them to design and build cloud-based solutions.

See salaries and explore the career path for Cloud Architect

DevOps Engineer

DevOps Engineers work with developers and operations teams to ensure that software applications are built, deployed, and maintained in a reliable and efficient manner. This course can help you build a foundation in the principles and practices of DevOps, including continuous integration, continuous delivery, and continuous monitoring. You will learn about Google Cloud's suite of DevOps tools and services, and how to use them to build, deploy, and maintain software applications.

See salaries and explore the career path for DevOps Engineer

Data Governance Specialist

Data Governance Specialists develop and implement data governance policies and procedures. They work with stakeholders to identify data governance needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of data governance, including data classification, data lineage, and data retention. You will learn about Google Cloud's suite of data governance tools and services, and how to use them to develop and implement data governance policies and procedures.

See salaries and explore the career path for Data Governance Specialist

Network Engineer

Network Engineers design, build, and maintain computer networks. They work with stakeholders to understand network requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of network engineering, including network design, network development, and network maintenance. You will learn about Google Cloud's suite of network engineering tools and services, and how to use them to design, build, and maintain computer networks.

See salaries and explore the career path for Network Engineer

Systems Engineer

Systems Engineers design, build, and maintain computer systems. They work with stakeholders to understand system requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of systems engineering, including system design, system development, and system maintenance. You will learn about Google Cloud's suite of systems engineering tools and services, and how to use them to design, build, and maintain computer systems.

See salaries and explore the career path for Systems Engineer

Storage Engineer

Storage Engineers design, build, and maintain storage systems. They work with stakeholders to understand storage requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of storage engineering, including storage design, storage development, and storage maintenance. You will learn about Google Cloud's suite of storage engineering tools and services, and how to use them to design, build, and maintain storage systems.

See salaries and explore the career path for Storage Engineer

Software Engineer

Software Engineers design, build, and maintain software applications. They work with stakeholders to understand software requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of software engineering, including software design, software development, and software testing. You will learn about Google Cloud's suite of software engineering tools and services, and how to use them to design, build, and maintain software applications.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts use data to identify trends and patterns. They work with data scientists and other stakeholders to identify data needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of data analysis, including data collection, data cleaning, and data visualization. You will learn about Google Cloud's suite of data analysis tools and services, and how to use them to identify trends and patterns.

See salaries and explore the career path for Data Analyst