6. データ可視化（ビジュアライゼーション）による、データの共有

Google via Coursera

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

Introduction

### Course Review: "6. データ可視化（ビジュアライゼーション）による、データの共有" #### Overview The course titled "6. データ可視化（ビジュアライゼーション）による、データの共有" is an integral part of the Google Data Analytics Professional Certification program on Coursera. Aimed at aspiring data analysts, this course equips participants with essential skills needed to secure entry-level positions in the field. Through this program, learners will gain a comprehensive understanding of the data analysis process and learn how to visualize and present their findings effectively. The course emphasizes the importance of data visualization, teaching students not only how to bring data to life through visual dashboards but also how to master platforms like Tableau for impactful presentations. With guidance from experienced Google data analysts, students will learn practical methods to execute common analyst tasks using optimal tools and resources. #### Course Objectives By the end of this course, participants will be able to: - Understand the significance of data visualization. - Construct compelling narratives by weaving together data stories. #### Syllabus Breakdown 1. **データビジュアライゼーション (Data Visualization)** - This module introduces participants to the foundational concepts of data visualization, emphasizing accessibility and design thinking. Students will explore how data can be graphically represented using charts and graphs, setting the stage for deeper analysis. 2. **Tableau を使ってデータビジュアライゼーションを作成する (Creating Data Visualizations with Tableau)** - Tableau is a powerful tool that aids data analysts in creating effective visualizations. This section delves into the features of Tableau, highlighting the importance of creativity and clarity when visualizing analytical results. It is hands-on, allowing students to get familiar with the platform. 3. **データストーリーをつくる (Crafting Data Stories)** - Connecting insights with purpose is crucial for excellent data storytelling. This module focuses on the attributes of data-driven narratives and how to create dashboards using Tableau. Learning about dashboard filters enhances the interaction of users with the data presented. 4. **プレゼンテーションやスライドショーを作成する (Creating Presentations and Slideshows)** - This final part equips learners with skills to create effective presentations that communicate data analysis clearly and persuasively. It covers vital aspects of preparation and presentation, including anticipating questions and constraints, thereby preparing students to handle real-world scenarios confidently. #### Review This course stands out for its practical approach to data visualization, incorporating tools and techniques that are pivotal in today’s data-driven decision-making. The use of Tableau as a foundational tool is particularly commendable; its wide adoption in various industries makes this course even more relevant for job seekers. The blend of theoretical concepts and hands-on learning ensures that learners not only absorb knowledge but also develop skills that are immediately applicable to the workplace. The real-world insights shared by Google data analysts add credibility and depth to the learning experience, providing context for the application of the concepts learned. #### Recommendation I highly recommend the course "6. データ可視化（ビジュアライゼーション）による、データの共有" for anyone looking to start a career in data analytics, particularly those interested in data visualization. Given the course structure, prior experience is not necessary, making it accessible to beginners eager to break into the field. Completing this course will not only enhance your understanding of data visualization but will also empower you to present data in ways that are engaging and insightful. If you aim to become a confident data analyst with the ability to share compelling stories through data, this course is an excellent choice!

Syllabus

データビジュアライゼーション

データビジュアライゼーションとは、図表を用いてデータをグラフィカルに表現することです。このパートでは、アクセシビリティやデザイン思考など、分析におけるデータビジュアライゼーションに関わる重要な概念をご紹介します。

Tableau を使ってデータビジュアライゼーションを作成する

Tableau は、データアナリストが効果的なデータビジュアライゼーションを作成するのに役立つツールです。このパートでは、Tableau のすべてを学び、データ分析結果をビジュアライゼーションする際の創造性と明確さの重要性を探ります。

データストーリーをつくる

インサイトを通じて目的とデータを結びつけることは、優れたデータストーリーテリングに不可欠です。このパートでは、データ主導のストーリーとその属性について学びます。また、 Tableau を使ってダッシュボードを作成する方法とダッシュボードのフィルターについても理解を深めます。

プレゼンテーションやスライドショーを作成する

このパートでは、データ分析に関する効果的なプレゼンテーションの方法を学びます。プレゼンテーションを行うにあたって、分析のあらゆる側面を考慮し、明確でわかりやすく、説得力のあるデータのビジュアライゼーションを作成する方法を学びます。さらに、起こりうる制約や問いかけを予測し、それに対応する方法についてもご紹介します。