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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/analytics-tableau
课程评论：没有评论
课程名称：数据可视化与沟通（使用 Tableau） 概述：优秀的商业数据分析师具备一种重要技能，即将定量分析的实际意义传达给各种听众。即使是最复杂的统计分析，如果无法提供可执行的建议，或者不能以非技术人员易于理解的方式传达，这些分析就对商业没有价值。通过本课程，你将学习如何有效地传达数据分析的商业相关性。到课程结束时，你将能够构建数据分析项目，确保其结果能够为利益相关者带来实质性收益。同时，你将学会如何利用 Tableau 这个目前商业界最流行的数据可视化工具，来高效突出分析结果。课程还将帮助你掌握设计和呈现商业“数据故事”的技巧，运用经过商业验证的方法和设计原则。 课程大纲： 1. 本课程介绍：了解数据分析与商业的关系，以及分支课程如何帮助你发展分析技能。 2. 提问的艺术：学习如何提出合适的问题以确保项目成功，并据此设计逻辑和结构化的分析计划。 3. 使用 Tableau 进行数据可视化：学习安装和使用 Tableau 进行数据可视化，创建商业分析中最重要的图表。 4. 动态数据操作与展示：探讨如何通过 Tableau 提供准确的分析答案，避免过度概括与偏见。 5. 传播工具箱：学习讲述数据故事的方法，设计有效的幻灯片展示，并提升呈现技巧。 6. 期末项目：在此项目中，学生需提交一份围绕数据驱动的商业流程变更提案的演示，以展示在课程中学到的 Tableau 功能和演示技巧。 总结：通过本课程，学员将掌握数据分析的必备技能，将复杂数据以直观、清晰的方式呈现给非专业观众，提升其在商业领域的沟通与决策能力。
Name:About this Specialization and Course
Description:The Coursera Specialization: Excel to MySQL: Analytic Techniques for Business, is about how 'Big Data' interacts with business, and how to use data analytics to create value for businesses. This specialization consists of four courses and a final Capstone Project, where you will apply your skills to a real-world business process. You will learn to perform sophisticated data-analysis functions using powerful software tools such as Microsoft Excel, Tableau, and MySQL. To learn more, watch the video and review the specialization overview document we provided. In the third course of the specialization: Data Visualization and Communication with Tableau, you will learn how to communicate business-relevant implications of data analyses. Specifically, you will: ~craft the right questions to ensure your analysis projects succeed ~leverage questions to design logical and structured analysis plans ~create the most important graphs used in business analysis and transform data in Tableau ~design business dashboards with Tableau ~tell stories with data ~design effective slide presentations to showcase your data story ~deliver compelling business presentations By the end of this course, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders. You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world. Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly. Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles by completing a final peer assessed project recommending a business process change. To get started, please begin with the video 'About This Specialization.' I hope you enjoy this week's materials!
Name:Asking The "Right Questions"
Description:Welcome! This week, you will learn how data analysts ask the right questions to ensure project success. By the end of this week, you will be able to: ~Craft the right questions to ensure your analysis projects succeed ~Leverage questions to design logical and structured analysis plans Remember to refer back to the Additional Resources reading: Identifying and Eliciting Information from Stakeholders. In addition, you will complete a graded quiz. As always, if you have any questions, post them to the Discussions Forum. To get started, please begin with the video “Tips for Becoming a Data Analyst.” I hope you enjoy this week's materials!
Name:Data Visualization with Tableau
Description:Welcome to week 2! This week you'll install Tableau to learn how visualizing data helps you figure out what your data mean efficiently, and in the process of doing so, helps you narrow in on what factors you should take into consideration in your statistical models or predictive algorithms. Over the next two weeks, we’re going to learn how to use Tableau to implement this type of visualization and to help you find, and communicate, answers to business questions, as well as work with the Tableau functions that all data analysts should be familiar with. In addition, through a series of practice exercises, you will use a data set to do example analyses and to answer specific sample questions about salaries for certain data-related jobs across the United State. Then for graded exercises, you will use a different data set to work out analyses and questions that will require you to directly apply the Tableau skills you have acquired through practice. By the end of this week, you will be able to: ~Create the most important graphs used in business analysis and transform data in Tableau Once you have watched the "Why Tableau" video, and installed the software, remember to refer back to the Salary Data Set and to the Dognition Data Set resources posted on the course site this week. You will also complete a graded quiz at the end of the week. As always, if you have any questions, post them to the Discussions Forum. To get started, please begin with the video “Use Data Visualization to Drive Your Analysis" and then review the "Written Instructions to install Tableau Desktop. I hope you enjoy this week's materials!
Name:Dynamic Data Manipulation and Presentation in Tableau
Description:Welcome to week 3! This week you'll continue learning how to use Tableau to answer data analysis questions. You will learn how to use Tableau to both find, and eventually communicate answers to business questions. You'll learn about the process of elicitation, and learn how to ensure your data story is not undermined by overgeneralization or bias and how to format your data charts to begin creating a compelling data story. By the end of this week, you will be able to: ~Write calculations and equations in Tableau ~Publish online business dashboards with Tableau Remember to refer to the additional resources for this week: “Examples of Tableau Dashboards and Stories” and "Using Tableau Dashboards When You Don't Have To." You will also complete a graded quiz. As always, if you have any questions, post them to the Discussions Forums. To get started, please begin with the video “Customizing and Sharing New Data in Tableau.” I hope you enjoy this week's materials!
Name:Your Communication Toolbox: Visualizations, Logic, and Stories
Description:Welcome to week 4! This week you will become a master at getting people to agree with your data-driven business recommendations as you learn to deliver a compelling business presentation. You’ll learn about the insight from the intersection of visualization science and decision science, and what this means for you as a data analyst, who seeks to design a compelling and effective business presentations. If you intend to affect people’s decisions, you need to influence where they look. This week we will review a set of tools and concepts you can use to optimize your visualizations and your presentation style. You will soon be a master at getting people to agree with your data-driven business recommendations! By the end of this week, you will be able to: ~Tell stories with data ~Design effective slide presentations to showcase your data story ~Deliver compelling business presentations Remember to refer back to the Study Guide: Designing and Delivering Effective Presentations. You will also complete a graded quiz. As always, if you have any questions, post them to the Discussions Forums. To get started, please begin with the video “Using Visualization to Influence Business Decisions.” I hope you enjoy this week's materials!
Name:Final Project
Description:Welcome to week 5! This week you will complete your final project. This assignment requires you to submit a recording of yourself giving a 4-5 minute presentation in which you present a data-driven business process change proposal to Dognition company management about how to increase the numbers of tests users complete. Students will give a short, peer-reviewed business presentation that uses a specified chart in Tableau. The final project will assess your mastery of the following: ~Demonstrated understanding the Tableau functions discussed in this course ~Adapting visualizations to make them maximally communicative ~Storyboarding skills ~Translating your story into a presentation ready for the boardroom ~Effective presentation delivery ~Evaluating business presentations Remember to refer to the Background Information for Peer Review Assignment on the course web site before you begin. This final course project is a comprehensive assessment covering all of the course material and will take approximately 6-8 hours to complete. As always, if you have any questions, post them to the Discussion Forums. Thank you for your contributions to this final project!
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses. By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders. You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world. Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly. Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.
