2. データに基づいた意思決定を行うための問いかけ

Google via Coursera

Go to Course: https://www.coursera.org/learn/ask-questions-make-decisions-japanese

Introduction

**Course Review and Recommendation: "データに基づいた意思決定を行うための問いかけ"** If you are looking to elevate your skills in data analytics and make impactful data-driven decisions, the course titled "データに基づいた意思決定を行うための問いかけ" (Asking Questions for Data-Driven Decision Making) offered by Coursera is an excellent choice. This course is part of the Google Data Analytics Professional Certificate program and serves as the second course in the sequence, building on foundational knowledge gained in the previous module. ### Course Overview This course is designed with beginners in mind, requiring no prior experience in data analytics. It aims to introduce learners to key techniques for effective questioning, necessary for analyzing data and translating it into actionable insights. The curriculum focuses on understanding the needs of stakeholders, which is crucial for guiding decision-making processes within organizations. One of the standout features of this course is the practical approach taken by instructors, who are current Google data analysts. They share their expertise and demonstrate how to utilize the best tools and resources to execute common analyst tasks. By the end of this course, participants will not only have acquired theoretical knowledge but also practical skills applicable to real-world scenarios. ### Course Goals Upon completion, learners can expect to achieve several key outcomes: 1. **Effective Questioning Techniques**: Understand how to formulate questions that lead to comprehensive data analysis. 2. **Understanding Data-Driven Decision Making**: Grasp the significance of data in shaping decisions and strategies. 3. **Business Scenario Analysis**: Explore various business cases to enhance understanding of questioning and decision-making processes. 4. **Spreadsheet Proficiency**: Recognize the importance of spreadsheets as fundamental tools for data analysts and learn how to effectively leverage them. ### Syllabus Breakdown 1. **Effective Questioning Techniques**: This section delves into common challenges faced by data analysts and how effective questioning can guide problem-solving. Attendees will learn specific techniques that serve as a roadmap for their analytical work. 2. **Data-Driven Decision Making**: Data is the core of effective decision-making. This module covers various data types and their implications in real-world scenarios, along with strategies for sharing data insights through reports and dashboards. 3. **Basics of Spreadsheets**: Spreadsheets are emphasized as vital tools for data analysis. Participants will learn how data analysts incorporate spreadsheets into their daily tasks, reinforcing the idea that structured thinking is pivotal for understanding and resolving analytical challenges. 4. **Stakeholder Awareness**: Successful data analysts excel in balancing stakeholder expectations and needs. This section teaches participants how to cultivate clear communication with teams while managing stakeholder expectations effectively. ### Recommendation I highly recommend "データに基づいた意思決定を行うための問いかけ" for anyone looking to start a career in data analytics or enhance their existing skills. The course is not only comprehensive but also provides a hands-on approach to learning. The insights shared by Google data analysts will be invaluable, and the skills acquired here will prepare you for entry-level data analyst positions. Whether you are transitioning careers, seeking to improve your analytical skills for your current job, or simply passionate about data, this course offers valuable content that will equip you with the tools to succeed. The flexibility of Coursera’s online format also allows you to learn at your own pace, making it accessible for busy professionals. In conclusion, investing time in this course can lead to significant career opportunities in the burgeoning field of data analytics. Don't hesitate—enroll today and take a significant step toward becoming proficient in data-driven decision-making!

Syllabus

効果的な問いかけとは

データアナリストの仕事をするためには、問いかけをして課題解決することが求められます。 このパートでは、分析に関する一般的な課題と、分析者がそれにどのように対処しているかを確認していきます。また、分析のガイドとなる効果的な問いかけのテクニックについても学んでいきます。

データに基づいた意思決定

データアナリティクスでは、データが意思決定の原動力となります。このパートでは、あらゆる種類のデータと、それが実際の選択や戦略に与える影響について学びます。また、レポートやダッシュボードを通じてデータを共有する方法についても学びます。

表計算ソフトの基礎知識

表計算ソフトは非常に重要なデータ分析ツールです。このパートでは、データアナリストが日常業務でどのように表計算ソフトを使用しているかを学んでいきます。また、構造化思考がなぜアナリストの課題理解や解決に役立つのかについても探っていきます。

ステークホルダーを常に意識する

成功しているデータアナリストは、ニーズと期待値の間のバランスを取ることに長けています。ここでは、チームと明確なコミュニケーションを確立しながら、ステークホルダーの期待値を管理するための戦略について学んでいきます。