Ask Questions to Make Data-Driven Decisions

所在平台: Coursera

课程主页: https://www.coursera.org/learn/ask-questions-make-decisions

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课程简介

课程名称:提出问题以做出数据驱动的决策 课程概述:这是谷歌数据分析证书系列的第二门课程。该系列课程将帮助您掌握申请初级数据分析师职位所需的技能。您将基于第一门课程中介绍的主题,深入学习如何提出有效的问题,从而做出数据驱动的决策,并与利益相关者的需求相连接。课程由现任谷歌数据分析师授课,提供实践操作的机会,帮助您完成常见的数据分析任务,使用最好的工具和资源。完成此证书项目的学习者将具备申请初级数据分析师职位的能力,无需以往经验。 通过这门课程,您将能够: - 学习有效的提问技巧,帮助指导分析过程。 - 理解数据驱动决策的重要性以及数据分析师如何展示发现结果。 - 探讨多种现实商业场景,以支持提问和决策的理解。 - 了解电子表格为何是数据分析师的重要工具。 - 检视结构化思维的关键理念,帮助分析师更好地理解问题并提出解决方案。 - 学习管理利益相关者期望的策略,同时与数据分析团队建立清晰的沟通,以实现商业目标。 课程大纲: 1. 提出有效的问题:了解数据分析师如何通过提问和解决问题来完成工作,探索常见挑战及其应对方式。 2. 做出数据驱动的决策:分析各种数据及其对现实选择和策略的影响,学习如何通过报告和仪表板分享数据。 3. 电子表格的魔力:学习数据分析师日常如何使用电子表格,以及结构化思维如何帮助分析师理解问题并提出解决方案。 4. 始终记住利益相关者:成功的数据分析师需平衡需求和期望,学习管理利益相关者期望的策略,同时与团队建立清晰沟通。

课程大纲

Name:Ask effective questions

Description:To do the job of a data analyst, you need to ask questions and problem-solve. In this part of the course, you’ll check out some common challenges and how analysts address them. You'll also explore effective questioning techniques that can help guide your analysis.

Name:Make data-driven decisions

Description:In analytics, data drives decision-making. In this part of the course, you’ll explore data of all kinds and its impact on real-life choices and strategies. You’ll also discover how to share your data through reports and dashboards.

Name:Spreadsheet magic

Description:Spreadsheets are a very important data analytics tool. In this part of the course, you will learn about how data analysts use spreadsheets in their work every day. You will also explore why structured thinking helps analysts better understand problems and come up with solutions.

Name:Always remember the stakeholder

Description:Successful data analysts learn to balance needs and expectations. In this part of the course, you’ll gain strategies for managing stakeholder expectations while establishing clear communication with your team.

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课程详情

This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll build on your understanding of the topics that were introduced in the first Google Data Analytics Certificate course. The material will help you learn how to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Learn about effective questioning techniques that can help guide analysis. - Gain an understanding of data-driven decision-making and how data analysts present findings. - Explore a variety of real-world business scenarios to support an understanding of questioning and decision-making. - Discover how and why spreadsheets are an important tool for data analysts. - Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions. - Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives.

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