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所在平台: Udemy |
课程主页: https://www.udemy.com/course/power-bi-for-data-analysis-ib/
课程评论：没有评论
课程名称：数据分析的Power BI 课程概述：Power BI是一种强大的商业智能工具，帮助用户将原始数据转化为互动洞察。数据分析过程通常从Power Query开始，用户可以通过用户友好的界面和M语言连接、清理和转换来自多个来源的数据。一旦数据准备完成，便会加载到数据模型中，用户可以定义表之间的关系，类似于数据库中的连接（如内连接、左外连接或全外连接），从而实现有效的跨表分析。 为增强分析能力，使用DAX（数据分析表达式）函数创建计算列、度量和关键绩效指标（KPI），这些函数支持复杂的业务逻辑和时间智能操作。在Power BI中建模有助于定义数据类型、层次结构和格式，从而提高可用性和性能。 可视化部分通过互动图表、表格、切片器和过滤器使数据栩栩如生。这些可视化内容可以发布到Power BI服务中，报告和仪表板可以在组织内共享。通过本地数据网关，管理计划的数据刷新和实时更新，确保及时安全的数据访问。 Power BI整合了数据连接、转换、建模和可视化，提供了一个强大的端到端分析解决方案。本课程由Irfan Bakaly以乌尔都语/印地语授课。
Power BI is a powerful business intelligence tool that enables users to transform raw data into interactive insights. The data analysis process typically begins with Power Query, which allows users to connect, clean, and transform data from multiple sources using a user-friendly interface and M language. Once the data is prepared, it is loaded into the Data Model, where users can define relationships between tables, similar to joins in databases (such as inner, left outer, or full outer joins), enabling effective cross-table analysis.To enhance analysis, DAX (Data Analysis Expressions) functions are used to create calculated columns, measures, and KPIs. These functions support complex business logic and time intelligence operations. Modeling in Power BI helps define data types, hierarchies, and formats that improve usability and performance.Visualizations bring the data to life using interactive charts, tables, slicers, and filters. These visuals can be published to the Power BI Service, where reports and dashboards are shared across the organization. Scheduled data refreshes and real-time updates are managed through on-premises data gateways, ensuring timely and secure data access.Power BI integrates data connectivity, transformation, modeling, and visualization, offering a robust end-to-end analytics solution.This course is design in Urdu/Hindi language by Irfan Bakaly.
