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所在平台: Udemy |
课程主页: https://www.udemy.com/course/power-bi-for-beginner/
课程评论：没有评论
课程名称：初学者的Power BI 课程概述：本课程为学生介绍Power BI的基本知识，讲解其在商业智能中的重要角色。学生将学习Power BI的不同组成部分，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各种数据源，如数据库、Excel文件、SharePoint和在线服务。课程将教授如何使用Power Query编辑器导入和转换数据，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，包括如何创建不同表格之间的关系、使用DAX（数据分析表达式）定义度量值和计算列，以及创建用于组织数据的层次结构。 数据可视化：学生将掌握在Power BI中创建视觉美观和互动的报告与仪表板的技能。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，并探索格式选项与设计最佳实践。 Power Query：学生将学习Power Query中的高级技术，用于数据的转换和操作，掌握使用函数、条件语句和其他数据整理技术来清理和准备数据进行分析。 DAX（数据分析表达式）：学生将熟悉使用DAX公式创建计算、度量值和计算列，学习如何编写DAX表达式来聚合、过滤和操作数据，以获得有意义的洞见。 互动报告和仪表板：学生将学习如何在Power BI中创建互动报告和仪表板，了解如何通过切片器、过滤器和深入分析等功能增加互动性，以让用户更好地探索数据并获得洞见。 数据刷新与分享：学生将掌握如何在Power BI中刷新数据并安排自动数据刷新。课程还将讲解如何发布和分享报告与仪表板，既可以在组织内部共享，也能对外分享。 Power BI Service：学生将了解Power BI Service这一云平台，它用于共享和协作Power BI内容。学习内容包括如何发布报告、创建工作区、管理访问权限及利用协作功能。 高级分析和自定义可视化：根据课程内容，学生可能还会学习Power BI中的高级分析功能，如预测、聚类和情感分析。此外，他们还将探索自定义可视化的可能性，了解如何导入和使用第三方可视化以扩展Power BI的能力。 通过完成Power BI课程，学生将培养出有效分析与可视化数据的技能，创建互动报告与仪表板，并与相关方共享洞见。这些技能在数据分析、商业智能、报告和决策等多个角色中都极为宝贵。
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.
