5 .データを分析し、答えを導き出す

Google via Coursera

Go to Course: https://www.coursera.org/learn/analyze-data-japanese

Introduction

### Course Review: 5 .データを分析し、答えを導き出す **Overview** The course titled **5 .データを分析し、答えを導き出す** is the fifth installment in the Google Data Analytics Professional Certificate program offered on Coursera. It’s expertly designed for those looking to launch their career as entry-level data analysts. In this course, students dive into the "Analysis" phase of the data analysis process, building upon the foundations laid in prior courses. The curriculum guides learners through applying analytical techniques to comprehend the significance of collected data and preparing this data for analysis through various powerful tools such as spreadsheets and SQL. This course fosters essential skills for real-world data analysis scenarios, focusing on how to manipulate data to uncover insights that support business objectives. Students are trained to perform complex calculations and utilize various formulas, functions, and SQL queries while engaging in hands-on exercises guided by active Google Data Analysts. Importantly, no prior work experience is needed to enroll in this program, making it accessible to all beginners in the field. **Syllabus Highlights** 1. **Organizing Data for Analysis** This section emphasizes the importance of sorting and filtering data, teaching learners how to prepare data efficiently for analysis. Both spreadsheets and SQL processes are explored to ensure a robust understanding of data organization. 2. **Formatting and Adjusting Data** As learners approach the analysis phase, a crucial understanding of data formatting becomes apparent. This segment teaches how to use SQL queries to join data, while also highlighting the value of feedback from colleagues in refining analytical skills. 3. **Data Aggregation for Insights** To achieve business goals, learners explore the functions and procedures necessary for combining data. This portion of the course covers how to aggregate data via functions, ensuring graduates can manipulate multiple cells and database tables through SQL queries. 4. **Executing Data Operations** One of the most frequent tasks for data analysts, data operations are thoroughly covered in this part of the course. Learners will become familiar with functions, formulas, pivot tables, and SQL queries that facilitate data operations, alongside learning how to manage temporary tables effectively within SQL. **Recommendations** I highly recommend **5 .データを分析し、答えを導き出す** for anyone serious about embarking on a career in data analytics. The course uniquely balances theoretical understanding and practical application, instilling confidence in learners as they prepare for the data-driven workforce. The engagement from current Google Data Analysts adds tremendous value, offering insights that textbooks often overlook. For those new to data analysis, this course serves as an invaluable stepping stone, equipping you with skills that will be relevant across industries. The hands-on assignments and practical examples provided ensure that participants can see how each concept applies in real-world scenarios. Upon completion of the course, you will not only be prepared to apply for entry-level positions in data analysis but also possess a strong foundational knowledge that will serve as a launching pad for further learning and specialization in the field. **Final Thoughts** Jumpstart your journey as a data analyst by enrolling in this course. With its comprehensive approach, it sets you up for success in understanding data analysis—an increasingly critical skill in today's data-centric world. Engaging with this course will empower you to harness data effectively, drive business insights, and achieve your career aspirations in data analytics.

Syllabus

分析に必要なデータを整理する

データを整理することで、分析に活用しやすくなります。このパートでは、並べ替えとフィルタリングによるデータ整理の重要性を学びます。また、表計算ソフトと SQL の両方でこれらのプロセスを確認し、分析のためのデータ準備を進めていきます。

データの書式設定と調整

データの分析フェーズに近づくにつれ、データをフォーマット化して準備する必要性を感じるでしょう。このパートでは、SQL クエリを使用してデータを結合する方法を含め、データの変換とフォーマット化に関するすべてを学びます。また、同僚からのフィードバックやサポートの価値、そしてそれがどのように新しい学びにつながり、自分の仕事に活かせるかを理解します。

分析のためのデータ アグリゲーション

インサイトを高め、ビジネスの目標を達成するために、分析の一環としてデータを組み合わせる必要が生じることはよくあります。このパートでは、データの結合（集計）に関連する関数、手順、構文について学習します。また、表計算ソフトの複数のセルやデータベースの複数のテーブルから SQL クエリを使用してデータを結合する方法についても学びます。

データ演算の実行

演算は、データアナリストが分析中に行う最も一般的なタスクの 1 つです。このパートでは、スプレッドシートの数式、関数、ピボットテーブル、SQL のクエリなど、演算を行う際に役立つものを紹介します。また、SQL を使用して一時テーブルを管理することの利点についても学びます。