Power BI Dashboard for beginners

所在平台: Udemy

课程主页: https://www.udemy.com/course/build-dashboards-with-power-bi/

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## Power BI 仪表板入门课程总结 本课程旨在教授初学者如何使用 Power BI 创建数据仪表板。 **核心内容:** * **什么是 Power BI 仪表板:** 仪表板是 Power BI 服务(在线版)中创建的单页可视化集合,可通过釘選报告中的视觉对象来构建。 * **数据驱动决策文化:** 强调在当今文化中,业务决策基于事实而非观点,数据分析至关重要。 * **Power BI Desktop 的作用:** 介绍 Power BI Desktop 是一款免费的 PC 应用程序,用于收集、转换和可视化数据。 * **Power BI Desktop 与 Power BI 服务协同工作:** 说明如何在 Power BI Desktop 中创建报告,并发布到 Power BI 服务供他人使用。 * **连接多种数据源:** 演示 Power BI Desktop 如何连接到各种数据源,包括本地数据库、Excel 工作表、云服务(如 GitHub),以及通过 XML、CSV、文本、ODBC 等通用连接器。 * **数据转换:** 讲解数据转换的重要性,包括清理、重命名列、更改数据类型以及建立数据源之间的关系,以使数据结构化和可用。 * **可视化展示:** 强调视觉对象在呈现数据方面的作用,以及 Power BI 提供的丰富多样的可视化图表,能够以引人入胜的方式突出关键信息。 **总而言之,本课程将引导您从连接数据源、进行数据转换,到最终创建出具有洞察力的 Power BI 仪表板,赋能您在数据驱动的环境中做出更明智的决策。**

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Dashboards in Power BI are one-page collections of visualizations that are created from within the Power BI service (online). You can create dashboards by pinning visuals from reports.We all live in a data culture where business decisions are based on facts, not opinions. We need data to help us make these decisions. Power BI Desktop is a free application for PCs that lets you gather, transform, and visualize your data. Power BI Desktop and the Power BI Service work together. You can create your reports in Power BI Desktop and then publish them to the Power BI Service for others to consume.Power BI Desktop connects to many types of data sources, including local databases, worksheets, and data on cloud services. Sometimes when you gather data, it's not quite as structured, or clean, as you want it to be. To structure data, you can transform it, meaning that you can split and rename columns, change data types, and create relationships between columns.You can connect Power BI Desktop to many types of data sources, including on-premises databases, Microsoft Excel workbooks, and cloud services. Currently, there are over 110 Power BI-specific connectors to cloud services such as GitHub You can also connect to generic sources through XML, CSV, text, and ODBC. Power BI will even extract tabular data directly from a website URL.Data doesn't always come into your report clean, or ready to use. You may need additional columns or to rename or hide existing columns. You may have multiple data sources and need to define a relationship between them. All of these tasks are known as data transformation.Visuals allow you to present data in a compelling and insightful way and help you to highlight the important components. Power BI has many compelling visuals and many more are released frequently.

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