1. 基礎知識：データはあらゆるところにある

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

Introduction

**Course Review and Recommendation: "基礎知識：データはあらゆるところにある" (Fundamentals: Data is Everywhere)** If you're curious about data analytics and looking to kickstart your career in this ever-evolving field, the course "基礎知識：データはあらゆるところにある" (Fundamentals: Data is Everywhere) offered through Coursera is an excellent place to begin. As the first course in the Google Data Analytics Professional Certificate Program, it serves as a comprehensive introduction to the critical skills needed for aspiring data analysts. ### Course Overview Developed by Google, this course provides a practical and engaging curriculum that covers fundamental aspects of data analytics. With data being central to decision-making processes across organizations, the course emphasizes how analysts can identify opportunities, improve processes, and support informed decisions through analytical insights. One of the standout features of this program is that it requires no prior experience, making it accessible for beginners eager to enter the data analytics space. After completion, participants will be equipped to apply for entry-level data analyst positions, setting the stage for a rewarding career. ### Learning Objectives Upon completing the course, you will: - Understand the daily tasks and processes involved in the roles of junior and associate data analysts. - Grasp the importance of analytical thinking and how it contributes to data-driven decision-making. - Familiarize yourself with the data life cycle, the analytics process, and the tools that data analysts use. - Recognize the vast career opportunities available to data analysts and the qualifications that companies seek. ### Syllabus Breakdown 1. **Introduction to Data Analytics**: The course kicks off with a foundational understanding of data analytics, emphasizing how data influences choices in both personal and professional contexts. This section introduces the analytical tools and processes that will be explored throughout the course. 2. **Analytical Thinking**: This part delves into the various roles data analysts play and highlights essential skills needed to thrive in these positions. You will explore analytical thinking methods and how they inform decision-making. 3. **The World of Great Data**: Understanding the data life cycle is crucial for analysts. This section explains the relationship between the data lifecycle and the analyst’s work, along with the applications used in the analysis process. 4. **Preparation with Tools**: Data analysts rely heavily on spreadsheets, query languages, and data visualization tools. This segment offers a deeper dive into these tools, showcasing their functionalities through practical examples. 5. **Limitless Possibilities in Your Career**: The course concludes by discussing the demand for data analysts across various industries. It explains the specific tasks analysts perform and how a data analytics professional certificate can enhance job prospects. ### Recommendation I highly recommend the "基礎知識：データはあらゆるところにある" course for anyone interested in starting a career in data analytics. The course is well-structured, informative, and easy to follow, thanks in part to the guidance of experienced data analysts who share their insights and best practices. For learners who thrive on practical knowledge, this course provides real-world applications and tools that will empower you to take your first steps in the data analytics field. With increasing demand for skilled data analysts across various industries, this course not only gives you a solid foundation but also helps pave the way for future career advancements. Overall, whether you’re looking to enhance your current skill set or completely transition into a new career, "基礎知識：データはあらゆるところにある" is a fantastic opportunity to get started on your journey in the world of data analytics. Sign up today and unlock your potential in this exciting field!

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。

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。

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。

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。

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。