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所在平台: Udemy |
课程主页: https://www.udemy.com/course/power-bi-desktop-report-development/
课程评论：没有评论
课程名称：Power BI Desktop：报告开发 课程概述： 本课程旨在介绍Power BI的基本概念及其在商业智能中的作用。学生将学习Power BI的各个组成部分，包括Power BI Desktop、Power BI Service和Power BI Mobile。 数据源与数据转换： 学生将学习如何连接到多种数据源，如数据库、Excel文件、SharePoint和在线服务。课程将教授如何使用Power Query Editor导入和转换数据，以便清理和整理数据进行分析。 数据建模： 学生将了解Power BI中的数据建模概念，学习如何创建不同表之间的关系，使用DAX（数据分析表达式）定义度量值和计算列，并创建数据层级以组织数据。 数据可视化： 学生将掌握创建视觉吸引力和互动性强的报告和仪表板的技能。他们将学习使用不同类型的可视化工具（如图表、表格、地图和切片器）有效展示数据，并探索格式选项和设计吸引人可视化的最佳实践。 Power Query： 学生将学习Power Query中的高级数据转换和操作技术，理解如何使用函数、条件语句和其他数据整理技巧来清理和准备数据。 DAX（数据分析表达式）： 学生将熟练使用DAX公式创建计算、度量和计算列，学习编写DAX表达式以聚合、过滤和操作数据，提取有意义的洞察。 互动报告和仪表板： 课程将教授学生如何创建互动性报告和仪表板，了解如何通过切片器、过滤器和深入分析操作为用户提供数据探索和洞察的机会。 数据刷新与共享： 学生将学习如何在Power BI中刷新数据及安排自动数据刷新，理解如何发布和共享报告与仪表板，包括组织内部和外部的共享。 Power BI Service： 学生将理解Power BI Service，这是共享和协作Power BI内容的云平台。他们将学习如何发布报告、创建工作区、管理访问权限，并利用协作功能。 高级分析和自定义可视化： 根据课程安排，学生可能还会了解Power BI中的高级分析功能，如预测分析、聚类和情感分析。此外，他们可能会探索自定义可视化工具，导入和使用第三方可视化，扩展Power BI的功能。 完成本课程后，学生将具备有效分析和可视化数据的技能，能够创建互动性报告和仪表板，并与利益相关者共享洞察。这些技能对于数据分析、商业智能、报告和决策制定等多种角色都具有重要价值。
Introduction to Power BI: Students will gain a basic understanding of what Power BI is and its role in business intelligence. They will learn about the different components of Power BI, including Power BI Desktop, Power BI Service, and Power BI Mobile.Data Sources and Data Transformation: Students will learn how to connect to various data sources, such as databases, Excel files, SharePoint, and online services. They will understand how to import and transform data using Power Query Editor to clean and shape the data for analysis.Data Modeling: Students will learn about data modeling concepts in Power BI. They will understand how to create relationships between different tables, define measures and calculated columns using DAX (Data Analysis Expressions), and create hierarchies for organizing data.Data Visualization: Students will gain skills in creating visually appealing and interactive reports and dashboards in Power BI. They will learn how to use different types of visualizations (such as charts, tables, maps, and slicers) to present data effectively. They will also explore formatting options and best practices for designing engaging visualizations.Power Query: Students will learn advanced techniques in Power Query for data transformation and manipulation. They will understand how to use functions, conditional statements, and other data shaping techniques to clean and prepare data for analysis.DAX (Data Analysis Expressions): Students will gain proficiency in using DAX formulas to create calculations, measures, and calculated columns in Power BI. They will learn how to write DAX expressions for aggregating, filtering, and manipulating data to derive meaningful insights.Interactive Reports and Dashboards: Students will learn how to create interactive reports and dashboards in Power BI. They will understand how to add interactivity through slicers, filters, and drill-through actions to enable users to explore data and gain insights.Data Refresh and Sharing: Students will learn how to refresh data in Power BI and schedule automatic data refreshes. They will understand how to publish and share reports and dashboards with others, both within the organization and externally.Power BI Service: Students will gain an understanding of the Power BI Service, which is the cloud-based platform for sharing and collaborating on Power BI content. They will learn how to publish reports, create workspaces, manage access and permissions, and utilize collaboration features.Advanced Analytics and Custom Visualizations: Depending on the course, students may also learn about advanced analytics features in Power BI, such as forecasting, clustering, and sentiment analysis. They may also explore custom visualizations, where they can import and use third-party visualizations to extend the capabilities of Power BI.By completing a Power BI course, students will develop the skills and knowledge required to analyze and visualize data effectively, create interactive reports and dashboards, and share insights with stakeholders. These skills are valuable in various roles, including data analysis, business intelligence, reporting, and decision-making.
