|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/tableau-desktop-specialist-exam-questions-new/
课程评论：没有评论
本课程是为准备Tableau Desktop Specialist认证考试的学习者设计的全面实践考试课程。课程涵盖了通过考试所需的关键技能、概念和最佳实践。 **课程内容概览：** **第一部分：连接和准备数据 (Domain 1: Connecting to and Preparing Data)** * **数据连接与提取:** 学习创建实时连接和提取，理解两者区别，并能保存元数据属性。 * **数据模型:** 掌握创建和管理数据模型，包括添加关系、连接（joins）和联合（unions），并理解join与关系的区别。 * **数据属性管理:** 学习重命名数据字段、设置别名、分配地理角色、更改数据类型以及调整默认属性（如数字格式、聚合方式、颜色、日期格式等）。 **第二部分：探索和分析数据 (Domain 2: Exploring and Analyzing Data)** * **创建基本图表:** 学习创建各种基本图表，如条形图、折线图、散点图、地图，以及组合轴图、双轴图、堆叠条形图、密度地图、交叉表和高亮表等。 * **数据组织与筛选:** 掌握创建组和集，组织维度为层级结构，添加视图过滤器和日期过滤器。 * **工作表分析:** 学习应用手动或计算排序、添加参考线、使用快速表计算、创建分箱和直方图、创建计算字段、理解参数用途以及显示数据汇总。 **第三部分：分享见解 (Domain 3: Sharing Insights)** * **视图格式化:** 学习在标记卡中使用颜色、配置字体、设置标记形状、调整标记大小、显示/隐藏图例以及配置可视化动画。 * **仪表板创建与修改:** 学习将工作表添加到仪表板，添加交互元素（如筛选器、数据高亮、工具提示），创建仪表板动作（筛选、高亮、参数控制、URL），配置仪表板布局和设备特定仪表板，以及创建故事和故事点。 * **工作簿数据查看与分享:** 学习分享工作簿（如导出为PDF、图片或发布到Tableau Server），查看和导出底层数据，以及导出到Microsoft PowerPoint。 **第四部分：理解Tableau概念 (Domain 4: Understanding Tableau Concepts)** * **维度与度量:** 理解维度和度量的含义、包含的信息以及它们之间的区别。 * **离散与连续字段:** 理解离散和连续字段的显示方式，以及离散日期部分和连续日期值之间的差异。 * **聚合:** 理解度量的默认聚合方式，以及在视图中添加维度时聚合度量如何变化。 本课程旨在帮助学习者通过实践练习和概念理解，自信地通过Tableau Desktop Specialist认证考试。
Welcome to our all-inclusive Tableau Desktop Specialist Certification Practice Exam course, designed to help you master the essential MuleSoft skills, concepts, and best practices needed to pass the exam with confidence.In this course, you will learn: Domain 1: Connecting to and Preparing Data1.1 Create live connections and extracts1.1.1 Create a live connection to a data source1.1.2 Explain the differences between using live connections versus extracts1.1.3 Create an extract1.1.4 Save metadata properties in a.TDS1.1.5 Create a data source that uses multiple connections1.2 Create and manage the data model1.2.1 Add relationships to a data source1.2.2 Add joins and unions1.2.3 Explain when to use a join versus a relationship1.3 Manage data properties1.3.1 Rename a data field1.3.2 Assign an alias to a data value1.3.3 Assign a geographic role to a data field1.3.4 Change data type for a data field (number, date, string, Boolean, etc.)1.3.5 Change default properties for a data field (number format, aggregation, color, date format, etc.)Domain 2: Exploring and Analyzing Data2.1 Create basic charts2.1.1 Create a bar chart2.1.2 Create a line chart2.1.3 Create a scatterplot2.1.4 Create a map using geographic data2.1.5 Create a combined axis chart2.1.6 Create a dual axis chart2.1.7 Create a stacked bar2.1.8 Create a density map2.1.9 Create a chart to show specific values (crosstab, highlight table)2.2 Organize data and apply filters2.2.1 Create groups by using marks, headers, and the data pane2.2.2 Create sets by using marks and the data pane2.2.3 Organize dimensions into a hierarchy2.2.4 Add a filter to a view2.2.5 Add a date filter2.3 Apply analytics to a worksheet2.3.1 Add a manual or a computed sort2.3.2 Add a reference line2.3.3 Use a quick table calculation2.3.4 Use bins and histograms2.3.5 Create a calculated field (e.g. string, date, simple arithmetic)2.3.6 Explain when to use a parameter2.3.7 Display totals on a worksheetDomain 3: Sharing Insights3.1 Format view for presentation3.1.1 Use color from the marks card3.1.2 Configure fonts3.1.3 Format marks as shapes3.1.4 Configure viz animations3.1.5 Change size of marks3.1.6 Show and hide legends3.2 Create and modify a dashboard3.2.1 Add worksheets to a dashboard3.2.2 Add interactive elements for consumers (e.g. show filters, data highlighter, tooltips)3.2.3 Add dashboard actions (e.g. filter action, highlight action, parameter control, URL action)3.2.4 Configure a dashboard layout and create device-specific dashboards3.2.5 Create a story and a story point3.3 View and share workbook data3.3.1 Share a workbook (e.g. twbx as a PDF or an image, publish to Tableau Server)3.3.2 View and export underlying data3.3.3 Export to Microsoft PowerPointDomain 4: Understanding Tableau Concepts4.1 Understand dimensions and measures4.1.1 Explain what kind of information dimensions usually contain4.1.2 Explain what kind of information measures usually contain4.1.3 Explain the difference between dimensions and measures4.2 Understand discrete and continuous fields4.2.1 Explain how discrete fields are displayed4.2.2 Explain how continuous fields are displayed4.2.3 Explain the difference between discrete date parts and continuous date values4.3 Understand aggregations4.3.1 Explain the default aggregation for measures4.3.2 Describe how an aggregated measure changes when dimensions are added to a view
