Microsoft Power BI Data Analyst (PL-300) Exam: 2025

所在平台: Udemy

课程主页: https://www.udemy.com/course/practice-exam-microsoft-power-bi-data-analyst-pl-300/

课程评论:没有评论

第一个写评论        关注课程

课程简介

Coursera 课程:Microsoft Power BI 数据分析师 (PL-300) 考试:2025 **课程概述:** 本课程提供与 Tableau 相关的实践练习题,旨在帮助学员为 PL-300 考试做好准备,了解真实考试可能出现的题型。 **考试领域覆盖:** * **数据准备 (15-20%)** * **数据建模 (30-35%)** * **数据可视化与分析 (25-30%)** * **资产部署与维护 (20-25%)** **重要练习主题:** * 从不同数据源获取数据 * 清洗、转换和加载数据 * 设计和开发数据模型 * 使用 DAX 创建模型计算 * 优化模型性能 * 创建报表和仪表板 * 增强报表以提高可用性和叙事性 * 识别模式和趋势 * 管理文件和数据集 * 管理工作区 **考试目标人群:** 该考试面向能够通过分析现有数据并运用领域专业知识,提供可行性见解的数据分析师。他们通过易于理解的数据可视化创造有意义的业务价值,赋能他人进行自助式分析,并部署和配置供他人使用的解决方案。Power BI 数据分析师需要与业务利益相关者紧密合作,识别业务需求,并与企业数据分析师和数据工程师协作,以识别和获取数据,然后进行数据转换、创建数据模型、可视化数据,并通过 Power BI 共享资产。

课程评论(0条)

课程详情

These practice questions are ideal if you intend to take the PL-300 Exam and want to see what kinds of questions will be on the Microsoft Power BI Data Analyst (PL-300) - Real Exam.These are the exam domains covered in the PL-300 practice test:Prepare the data (15-20%)Model the data (30-35%)Visualize and analyze the data (25-30%)Deploy and maintain assets (20-25%)Important topics covered in Questionnaire:Get data from different data sourcesClean, transform and load the dataDesign a data modelDevelop a data modelCreate model calculations by using DAXOptimize model performanceCreate reportsCreate dashboardsEnhance reports for usability and storytellingIdentify patterns and trendsManage files and datasetsManage workspacesCandidates for this exam deliver actionable insights by working with available data and applying domain expertise. They provide meaningful business value through easy-to-comprehend data visualizations, enable others to perform self-service analytics, and deploy and configure solutions for consumption.The Power BI data analyst works closely with business stakeholders to identify business requirements. They collaborate with enterprise data analysts and data engineers to identify and acquire data. They also transform the data, create data models, visualize data, and share assets by using Power BI.

课程标签

0人关注该课程

主题相关的课程