Poser des questions pour prendre des décisions basées sur les données

Go to Course: https://www.coursera.org/learn/poser-des-questions-pour-prendre-des-decisions-basees-sur-les-donnees

Introduction

### Course Review: Poser des questions pour prendre des décisions basées sur les données #### Overview "Poser des questions pour prendre des décisions basées sur les données" is the second course in the Google Data Analytics Certificate series offered on Coursera. This course is designed for individuals looking to build upon their foundational knowledge from the first course and develop the necessary skills to pursue entry-level data analyst positions. With a focus on effective questioning and data-driven decision-making, this course is a vital stepping stone for anyone eager to embark on a career in data analytics. #### Course Structure and Syllabus ##### 1. Effective Questioning The course begins with the essential skill of posing questions that lead to insightful analyses. Here, learners will encounter common analytical challenges and learn how experienced analysts tackle these issues. This section is particularly valuable, as it emphasizes the importance of asking the right questions to guide data analysis effectively. Techniques for effective questioning are covered, ensuring that students learn how to steer their investigations toward meaningful outcomes. ##### 2. Data-Driven Decision Making In the ever-evolving field of analytics, the ability to make informed decisions based on data is paramount. This part of the course delves into various types of data and their implications for real-world choices and strategies. Students will not only learn about interpreting data but also the crucial skill of sharing insights through reports and dashboards. This knowledge is indispensable for translating complex data into actionable strategies within a professional context. ##### 3. Advanced Spreadsheet Skills Spreadsheets remain the backbone of many data analyses. This segment of the course teaches how data analysts utilize spreadsheets in their daily tasks. Learners will discover why structured thinking is essential for understanding problems and developing solutions. As spreadsheets are widely used in the industry, mastering this tool is critical for anyone looking to make a mark in data analytics. ##### 4. Partner Expectations The course concludes with a focus on collaboration and communication. Understanding how to balance the needs and expectations of stakeholders is a hallmark of great data analysts. This section provides strategies for managing partner expectations while ensuring clear communication within teams. This soft skill is just as important as technical prowess, highlighting the course's holistic approach to developing well-rounded data professionals. #### Course Benefits - **Practical Skills**: The course is designed to equip learners with practical, applicable skills that can be used immediately in the workplace. - **Structured Learning**: The progression from questioning techniques to data presentation ensures a well-rounded understanding of the data analytics process. - **Industry-Relevant Content**: Developed in collaboration with Google, the course content is tailored to meet the needs of the job market, making it relevant for those looking to enter the field. #### Recommendation I highly recommend "Poser des questions pour prendre des décisions basées sur les données" for anyone interested in pursuing a career in data analytics. It not only builds on essential skills introduced in the previous course but also provides a comprehensive understanding of the data analytics landscape. The strategic combination of analytical techniques, spreadsheet mastery, and soft skills prepares learners to contribute effectively in a data-driven environment. In conclusion, this course is an excellent investment for aspiring data analysts, providing them with the knowledge and skills necessary to succeed in a competitive field. If you are looking to enhance your analytical capabilities and be at the forefront of data-driven decision-making, enrolling in this course should be a top priority.

Syllabus

Questions efficaces

Pour faire le travail d’un analyste de données, vous devez poser des questions et résoudre des problèmes. Dans cette partie du cours, vous découvrirez certains défis d’analyse courants et la façon dont les analystes les abordent. Vous en apprendrez également davantage sur les techniques de questionnement efficaces qui peuvent vous aider à guider votre analyse.

Dans le domaine de l’analytique, les données déterminent la prise de décision. Dans cette partie du cours, vous explorerez des données de toutes sortes et leur impact sur des choix et des stratégies de la vie réelle. Vous apprendrez également à partager vos données via des rapports et des tableaux de bord.

Les feuilles de calcul sont un outil d'analyse de données très important. Dans cette partie du cours, vous apprendrez comment les analystes de données utilisent les feuilles de calcul dans leur travail quotidien. Vous apprendrez également pourquoi la pensée structurée aide les analystes à mieux comprendre les problèmes et à trouver des solutions.

Les meilleurs analystes de données apprennent à équilibrer les besoins et les attentes. Dans cette partie du cours, vous apprendrez des stratégies pour gérer les attentes des partenaires tout en établissant une communication claire avec votre équipe.