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所在平台: Udemy |
课程主页: https://www.udemy.com/course/micro-power-exams/
课程评论：没有评论
Course Name: Microsoft PL-300 Practice Tests (Microsoft PL-300: Power BI 数据分析师认证课程) Course Summary: 本课程是为帮助您掌握使用 Power BI 进行数据分析的关键技能而设计的。无论您是初学者还是经验丰富的专业人士，本课程都将引导您全面了解 Power BI 的各项功能，从基本的数据加载到高级的数据建模、报表制作和洞察分享。 您将学习如何连接各种数据源，使用 Power Query 清洗和转换数据，并构建高效的数据模型。您将熟练掌握 DAX (Data Analysis Expressions) 来执行复杂计算并创建度量值，以实现更精确的报表。课程还涵盖了创建引人注目的可视化和仪表板，使您能够有效沟通数据驱动的洞察。 课程的一个关键部分着重于 Power BI 的高级功能，如钻取、筛选器和自定义可视化，确保您能提供有意义的分析并增强用户交互。您还将探索行级别安全性、管理和优化大型数据集以及创建适用于移动设备的报表等概念。 课程结束后，您将为 PL-300 认证考试打下坚实的基础，并掌握在实际场景中运用数据分析的实用技能。本课程非常适合数据分析师、商业智能专业人士以及任何希望在数据分析领域发展职业生涯的人士。
This Microsoft PL-300: Power BI Data Analyst certification course is designed to help you master the essential skills needed to analyze data with Power BI. Whether you're a beginner or an experienced professional, this course will guide you through the full spectrum of Power BI capabilities, from basic data loading to advanced data modeling, reporting, and sharing insights.Throughout the course, you will learn how to connect to various data sources, clean and transform data using Power Query, and build efficient data models. You'll gain proficiency in DAX (Data Analysis Expressions) to perform complex calculations and create measures for more accurate reporting. The course also covers creating stunning visualizations and dashboards that allow you to communicate data-driven insights effectively.A key part of the course focuses on Power BI's advanced features like drillthrough, filters, and custom visualizations, ensuring you can provide meaningful analysis and enhance user interactions. You will also explore concepts such as row-level security, managing and optimizing large datasets, and creating reports suitable for mobile devices.By the end of the course, you will have built a solid foundation in Power BI, preparing you not only for the PL-300 exam but also equipping you with the practical skills needed to leverage data analytics in real-world scenarios. This course is ideal for data analysts, business intelligence professionals, and anyone looking to build their career in data analysis.
