Data is powerful—only if you can see the story it tells. This Tableau course will take you from raw data to spectacular visuals and dashboards that make an impact.


您将学到什么
Explore Tableau’s interface to connect data and build visualizations with shelves and tools.
Clean, shape, and blend data to create accurate and effective visualizations.
Create insights using charts, maps, and interactive features.
Build interactive dashboards that unify visuals and drive data-informed decisions.
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13 项作业
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该课程共有3个模块
This module covers the essential Tableau concepts and its advanced techniques. By the end of this module, the learner will have a solid understanding of Tableau fundamentals and advanced features like filters, calculations, and expressions, preparing them to create insightful visualizations and analyses.
涵盖的内容
14个视频1篇阅读材料4个作业1个讨论话题
This module covers the advanced Tableau techniques for parameter usage, charting, visualization, geographic visualization, and forecasting. By the end of this module, learners will gain proficiency in utilizing Tableau parameters, enhancing their analytical capabilities in Tableau.
涵盖的内容
15个视频5个作业1个讨论话题
This module covers advanced topics in Tableau dashboard design, interactivity, integration, and problem-solving. By the end of this module, learners will have acquired proficiency in designing interactive Tableau dashboards, and effectively solving complex Tableau-related problems.
涵盖的内容
13个视频1篇阅读材料4个作业1个讨论话题
位教师

提供方
从 Data Management 浏览更多内容
- 状态:免费试用
- 状态:预览
Board Infinity
- 状态:免费试用
University of California, Davis
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常见问题
This Tableau training course is ideal for various IT professionals, like Business Analysts, Data Analysts, Project Managers, Data Scientists, Statisticians, Analysts, and Business Intelligence Managers who work in the Business Intelligence sector.
Completing theData Visualization with Tableau course will provide you with the knowledge and skills needed to leverage Tableau effectively for visualizing data, conducting analysis, and communicating insights in various professional settings.
No. There is no need for prior experience. However, a basic understanding of data concepts will be helpful.
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提供助学金,