|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/guideline/
课程评论：没有评论
课程名称：Power BI仪表板构建指南完整版本 课程概述： 本课程旨在分享一套指导原则和模板，帮助您创建高质量的仪表板。作为该领域的专家，我深知良好的仪表板设计和组织对于有效数据分析的重要性。在本视频中，我将向您介绍一个集成产品，包括以下内容： - 7种最受欢迎的图表模板 - 8种背景快速布局 - 3个销售仪表板示例 - 可视化指南 - 有关如何选择适合数据类型的图表的提示 在这个迷你课程中，您将学习到： - 理解良好仪表板设计的原则 - 通过创建用户友好和直观的界面提升用户体验 - 学会在30分钟内构建定制仪表板 - 理解如何使用不同类型的图表和图形有效地可视化数据，创建清晰的可视化仪表板 您可能对如何构建仪表板、选择何种图表类型、缺乏设计技能，甚至不清楚如何使用Power BI感到困惑。本课程的产品将帮助您快速轻松地理解这些内容。 如果您厌倦了花费大量时间在以下方面： 1. 选择正确的图表类型 2. 设置图表的颜色、标签和类别字体 3. 对齐仪表板元素 创建高质量的仪表板需要关注细节并遵循规则，我们的指导方针简化了仪表板的创建过程，减少了选择、定制和对齐图表所需的时间。遵循这些指导原则和使用模板将帮助您创建一个既美观又实用的仪表板，以便有效进行数据分析。
I want to share with you a guideline - a set of templates and rules to help you create a quality dashboard. As an expert in the field, I know that proper dashboard design and organization play a key role in effective data analysis. In this video, I will introduce you to a product that brings together:- 7 of the most popular chart templates- 8 backgrounds for a fast layout- 3 sales dashboard examples- visualization compass - a tip on choosing the right chart for your data typeIn this mini-course, you will learn how to:Understand the principles of good dashboard designImprove the user experience by creating a user-friendly and intuitive interfaceLearn how to build a customized dashboard in 30 minutesGain an understanding of how to effectively visualize data using different types of charts and graphs to create clear and visual dashboardsYou may not know how to build dashboards, what type of diagrams to choose, have no design skills. You may not even know how to work Power BI. Our product will help you to understand everything quickly and easily.For those who are tired of spending a lot of time on:1. choosing the right type of diagram2. setting up charts by colors, labels and category fonts3. aligning dashboard elements to each otherCreating a quality dashboard requires attention to detail and following the rules, our guideline makes creating a dashboard easy and reduces the time it takes to select, customize and align charts. Follow the guidelines and using the templates will help you create an attractive and functional dashboard that can be used effectively for data analysis.
