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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-tableau-for-data-visualisation-and-story-telling/
课程评论：没有评论
课程名称：数据可视化与故事叙述的Tableau 课程概述：在本课程中，您将探索不同的数据集，使用Tableau绘制精美的图表，揭示数据中的隐藏信息，讲述精彩故事。您将学习每种图表的优缺点，轻松绘制地理地图，提取数据集中的关键特征，发现商业洞察力，并以数据驱动的决策呈现商业想法。着手行动吧！使用Tableau的过程不仅有利可图，还充满乐趣！与大多数数据分析工具不同，Tableau采用拖放界面，因此您不需要是程序员就能学会Tableau。如果您已经掌握Excel，那么学习Tableau将非常简单。 课程内容和技能学习：您将获得逐步指导，掌握数据可视化和数据发现的基本技能，学习内容包括： - 排序、筛选和分组数据 - 创建表格、条形图和折线图 - 使用地理地图显示位置 - 进行总和、平均值、最小值、最大值和计数的聚合 - 使用计算创建新字段 - 通过连接和混合数据进行数据整合 但是，光看视频是无法成为专家的。为了掌握技能，您需要通过回答与视频内容相关的问题进行实际操作。为此，您将安装免费且易于安装在Mac或Windows上的Tableau Public版本。接着，下载课程中附带的示例数据集，并利用Tableau回答关于该数据的相关问题。
You will play with different datasets and draw beautiful graphs with Tableau, telling wonderful stories with hidden information in data. You will learn the advantages and disadvantages of each graph, draw geo graphical maps easily with Tableau. Extract key features in your dataset. Find business insights and present your business ideas with data driven decisions. Get Started Today!Working with Tableau isn't just lucrative - it's fun! And unlike most data analysis tools, Tableau uses a drag-and-drop interface, so you don't need to be a programmer to learn Tableau. If you can learn Excel then you can learn Tableau.Learn and Apply Fundamental SkillsGet a step-by-step walk-through of the fundamentals of data visualization and data discovery with Tableau. You'll learn how to:Sort, filter, and group your dataCreate tables, bar charts, line chartsShow location using geographic mapsAggregate with sum, average, min, max, and countsCreate new fields using calculationsCombine data using joins and blendsBut just watching the videos won't make you an expert. For mastery, you need to go hands-on by answering questions that reinforce the skills from the videos. To go hands-on, you'll install the Public version of the Tableau software, which is available for free and easy to install on Mac or Windows. Then you'll download the sample data set included with the course, and Tableau to answer questions about this sample data.
