1. 基礎知識：データはあらゆるところにある from Coursera

Google データアナリティクスプロフェッショナル認定プログラムの最初のコースです。各コースでは、初歩的なデータアナリスト業務に必要なスキルを習得します。あらゆる組織で、プロセスの改善、商機とトレンドの見極め、新製品のリリース、慎重な意思決定などに、データアナリストが必要とされています。このコースでは、Google が開発した実践的なカリキュラムを通じてデータアナリティクスの世界を紹介します。教材では、データアナリティクスに関する多数の主要トピックに触れながら、Google データアナリティクスプロフェッショナル認定プログラムの概要がわかるよう工夫されています。現職の Google データアナリストが、最適なツールやリソースを使って、一般的なアナリスト業務を遂行する実践的な方法を指導します。

この認定プログラムを修了すると、エントリーレベルのデータアナリスト職に応募できるようになります。過去の業務経験は不要です。

このコース修了後の目標は以下の通りです。

- ジュニアデータアナリストやアソシエートデータアナリストが日常的に関わる業務やプロセスを理解できるようになる。

- 専門的なツールボックスに追加できる、主要な分析スキル（データクリーニング、データ分析、データの可視化）とツール（スプレッドシート、SQL、R プログラミング、Tableau）を習得する。

- データのライフサイクルやデータ分析プロセスなど、ジュニアデータアナリストの業務に関わる数多くの用語や概念を理解できるようになる。

- データエコシステムにおけるアナリティクスの役割を評価できるようになる。

- 分析的思考について自己診断ができるようになる。

- コース修了後、求人情報を検索でき、求職活動のベストプラクティスを知る。

What's inside

Syllabus

データアナリティクスとは

データは、日常生活や仕事における意思決定に役立ちます。このパートではまず、データアナリティクスのプロセスや業務ツールを活用して、意思決定に必要な情報を導き出すための方法を学びます。並行して、このコースとプログラム全体が目指すものも紹介していきます。

分析的思考とは

データアナリストには、さまざまな役割をバランスよくこなすことが求められます。このパートでは、こうしたさまざまな役割と、アナリストに必要な主要なスキルについて学習します。また、分析的な思考方法と、それがデータ主導の意思決定にどう活かされるかについても探っていきます。

素晴らしいデータの世界

データには独自のライフサイクルがあり、データアナリストはそのサイクルと関わりながら仕事を進めます。このパートでは、データライフサイクルとデータアナリストの仕事が、それぞれこのプログラムの進行とどう関係しているかを学びます。また、データ分析プロセスで使うアプリケーションも紹介します。

使うツールの準備

すでに学んだように、スプレッドシート、クエリ言語およびデータ可視化ツールは、いずれもデータアナリストの仕事で重要な役割を果たします。ここでは、関連する基本概念を詳しく学び、これらのツールの機能について例を見ていきます。

キャリアにおける無限の可能性

あらゆる種類の企業がデータアナリストの仕事を高く評価しています。このパートでは、こうした企業について、またアナリストがこれらの企業のために行う具体的な職務やタスクについて説明します。さらに、これらの企業の採用条件を満たすうえで、データアナリティクスプロフェッショナル認定証がどのように役立つかについても学びます。

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

対象者が初学者であることを、コースタイトルの「プロフェッショナル認定」と「ジュニア〜アソシエートレベル業務」といった記述から推測できる。

仕事でデータを活用して意思決定を行う必要がある人向けに、データアナリスト業務に関する基本的なスキルを習得できる。

Googleのプロフェッショナル認定プログラムの一環となっており、一定レベルの信頼性があると推測できる。

コース修了後は応募レベルに達していることを謳っており、即戦力を目指す人向けである。

カリキュラムには実践的な内容が含まれており、Googleのデータアナリストが講師を務める。

履修後、求人情報を検索し、求職活動のベストプラクティスを学ぶことができる。

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 1. 基礎知識：データはあらゆるところにある with these activities:

資料の整理と確認

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整理と確認によって、関連する資料をより良く理解できます。

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コースモジュールとアセスメントを注意深く確認します。
ノート、割り当て、クイズ、試験を見直しおよび整理します。

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Career center

Learners who complete 1. 基礎知識：データはあらゆるところにある will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. This course is a great fit for those who wish to become Data Analysts, as it covers the core skills needed to perform data analysis. You will learn how to clean and analyze data, as well as how to visualize data in a way that is easy to understand. You will also learn about the different tools and techniques used in data analysis, which will give you a strong foundation for a career in this field.

See salaries and explore the career path for Data Analyst

Statistician

A Statistician collects, analyzes, and interprets data to provide insights into various phenomena. This course is a great fit for those who wish to become Statisticians, as it covers the core skills needed to perform statistical analysis. You will learn how to collect and clean data, as well as how to perform statistical analysis and interpret results. You will also learn about the different tools and techniques used in statistics, which will give you a strong foundation for a career in this field.

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Product Analyst

A Product Analyst collects and analyzes product usage data to identify areas for improvement. This course may be useful for those who wish to become Product Analysts, as it covers the basics of data analysis and product management. You will learn how to collect, analyze, and interpret data, as well as how to identify and prioritize product improvements. You will also learn about the different tools and techniques used in product analysis, which will give you a solid foundation for a career in this field.

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Business Analyst

A Business Analyst identifies and solves business problems using data analysis and other techniques. This course may be useful for those who wish to become Business Analysts, as it covers the basics of data analysis and business problem-solving. You will learn how to collect, analyze, and interpret data, as well as how to develop and implement business solutions. You will also learn about the different tools and techniques used in business analysis, which will give you a solid foundation for a career in this field.

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Database Administrator

A Database Administrator designs, implements, and maintains databases. This course may be useful for those who wish to become Database Administrators, as it covers the basics of data management and data analysis. You will learn about the different types of databases, as well as how to create and manage database tables. You will also learn about the different tools and techniques used in database administration, which will give you a solid foundation for a career in this field.

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Financial Analyst

A Financial Analyst analyzes financial data to make investment recommendations. This course may be useful for those who wish to become Financial Analysts, as it covers the basics of data analysis and financial modeling. You will learn how to collect, analyze, and interpret financial data, as well as how to build and use financial models. You will also learn about the different tools and techniques used in financial analysis, which will give you a solid foundation for a career in this field.

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Quantitative Analyst

A Quantitative Analyst develops and uses mathematical and statistical models to analyze financial data. This course may be useful for those who wish to become Quantitative Analysts, as it covers the basics of data analysis and financial modeling. You will learn how to collect, analyze, and interpret financial data, as well as how to build and use financial models. You will also learn about the different tools and techniques used in quantitative analysis, which will give you a solid foundation for a career in this field.

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Market Researcher

A Market Researcher collects and analyzes data about markets and consumers. This course may be useful for those who wish to become Market Researchers, as it covers the basics of data analysis and market research. You will learn how to collect, analyze, and interpret market data, as well as how to conduct market research surveys and focus groups. You will also learn about the different tools and techniques used in market research, which will give you a solid foundation for a career in this field.

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Operations Research Analyst

An Operations Research Analyst uses mathematical and analytical techniques to solve problems in business and industry. This course may be useful for those who wish to become Operations Research Analysts, as it covers the basics of data analysis and optimization. You will learn how to collect, analyze, and interpret data, as well as how to develop and implement optimization models. You will also learn about the different tools and techniques used in operations research, which will give you a strong foundation for a career in this field.

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Data Scientist

A Data Scientist uses data to solve problems and make predictions. This course may be useful for those who wish to become Data Scientists, as it covers the basics of data analysis and machine learning. You will learn how to collect, analyze, and interpret data, as well as how to build and train machine learning models. You will also learn about the different tools and techniques used in data science, which will give you a strong foundation for a career in this field.

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Data Engineer

A Data Engineer builds and maintains the infrastructure that processes and stores data. This course may be useful for you if you wish to enter this career field, as it will help you understand the data lifecycle and the tools used in data analysis. You will also learn about the processes involved in collecting, cleaning, and transforming data, which are essential skills for a Data Engineer.

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Risk Manager

A Risk Manager identifies, assesses, and manages risks to businesses and organizations. This course may be useful for those who wish to become Risk Managers, as it covers the basics of data analysis and risk management. You will learn how to collect, analyze, and interpret data, as well as how to identify and assess risks. You will also learn about the different tools and techniques used in risk management, which will give you a solid foundation for a career in this field.

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Software Engineer

A Software Engineer designs, develops, and tests software applications. This course may be useful for those who wish to become Software Engineers, as it covers the basics of data analysis and software development. You will learn how to analyze data and user requirements, as well as how to design and implement software solutions. You will also learn about the different tools and techniques used in software engineering, which will give you a solid foundation for a career in this field.

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Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. This course may be useful for those who wish to become Machine Learning Engineers, as it covers the basics of data analysis and machine learning. You will learn how to clean and analyze data, as well as how to build and train machine learning models. You will also learn about the different tools and techniques used in machine learning, which will give you a strong foundation for a career in this field.

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Risk Analyst

A Risk Analyst identifies and evaluates risks to businesses and organizations. This course may be useful for those who wish to become Risk Analysts, as it covers the basics of data analysis and risk management. You will learn how to collect, analyze, and interpret data, as well as how to identify and assess risks. You will also learn about the different tools and techniques used in risk analysis, which will give you a strong foundation for a career in this field.

See salaries and explore the career path for Risk Analyst