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所在平台: Udemy |
课程主页: https://www.udemy.com/course/power-bi-all-in-one/
课程评论：没有评论
课程名称：Power BI：全方位掌握 课程概述：本课程旨在介绍Power BI的基础知识，以及其在商业智能中的角色。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。他们将使用Power Query Editor导入和转换数据，以清理和整理数据以进行分析。 数据建模：学生将了解Power BI中的数据建模概念，学习如何在不同表格之间创建关系，使用DAX（数据分析表达式）定义度量值和计算列，并创建层次结构以组织数据。 数据可视化：学生将获得创建视觉吸引力强、互动性高的报告和仪表板的技能。他们将学习如何使用不同类型的可视化工具（如图表、表格、地图和切片器）有效呈现数据，并探索格式选项和设计有效可视化的最佳实践。 Power Query：学生将学习Power Query中的高级数据转换和处理技术，理解如何使用函数、条件语句及其他数据整形技巧来清理和准备数据进行分析。 DAX（数据分析表达式）：学员将深入掌握使用DAX公式在Power BI中创建计算、度量值和计算列的技巧。他们将学习如何编写DAX表达式，以聚合、过滤和操控数据，提取有意义的见解。 互动报告与仪表板：学生将学习如何在Power BI中创建互动报告和仪表板，掌握通过切片器、过滤器和深入分析操作添加互动性的方法，帮助用户探索数据并获取见解。 数据更新与共享：学生将学习如何在Power BI中刷新数据并安排自动数据更新。他们将了解如何发布和共享报告与仪表板，涵盖内部和外部的共享需求。 Power BI服务：学员将了解Power BI Service（云平台），学习如何发布报告、创建工作区、管理访问权限并运用协作功能。 高级分析与自定义可视化：根据课程安排，学生可能会学习Power BI中的高级分析功能，如预测、聚类和情感分析，并探索自定义可视化，导入并使用第三方可视化工具来扩展Power BI的功能。 总体来看，本课程为希望掌握Power BI的学员提供了全面的学习路径，涵盖从基础知识到高级应用的各个方面。通过实用的学习，学员将能够有效利用Power BI来进行数据分析和商业决策。
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.Power BI Service Overview: Students will gain an understanding of Power BI Service, which is the cloud-based platform for sharing, collaborating, and publishing Power BI reports and dashboards. They will learn how to navigate the Power BI Service interface, manage workpaces, and utilize collaboration features.Sharing and Collaboration: Students will learn how to share Power BI reports and dashboards with colleagues, teams, and stakeholders. They will understand different sharing options, set access permissions, and manage content collaboration within Power BI Service.Data Refresh and Scheduling: Students will learn how to schedule and manage data refresh in Power BI Service. They will understand how to configure automatic data refresh for reports and datasets, ensuring that the data is up to date and accurate.Power BI Mobile: Students will explore Power BI Mobile, the mobile app for accessing and interacting with Power BI reports and dashboards on smartphones and tablets. They will learn how to navigate the app, view reports offline, and utilize mobile-specific features for enhanced user experience.DAX Formulas and Functions: Students will dive deeper into DAX formulas, which are used for calculations and data modeling in Power BI. They will learn advanced DAX functions and techniques for creating complex calculations, time intelligence, filtering, and conditional logic.Calculated Columns and Measures: Students will understand the difference between calculated columns and measures in Power BI and when to use each. They will learn how to create and use calculated columns and measures effectively for data analysis and visualization.Advanced Data Modeling: Students will learn advanced data modeling techniques using DAX in Power BI. They will explore concepts such as hierarchies, calculated tables, and many-to-many relationships. They will understand how to optimize data models for performance and efficiency.Advanced Visualization Techniques: Students will gain skills in creating advanced visualizations using DAX expressions. They will learn how to use DAX to customize and enhance visualizations, create dynamic visuals, and implement advanced charting techniques.Advanced Analytics with DAX: Students will explore advanced analytics capabilities in Power BI using DAX. They will learn how to perform statistical analysis, implement advanced calculations, and create complex data models to support advanced analytics scenarios.Performance Optimization: Students will understand techniques for optimizing the performance of Power BI reports and dashboards. They will learn how to improve query performance, optimize data models, and manage large datasets efficiently.
