Practice Tests PL-300 Power BI Data Analyst Exam

所在平台: Udemy

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

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Coursera PL-300 Power BI 数据分析师考试实践测试课程总结 该课程提供完整的 PL-300 考试模拟测试,旨在帮助学员高效通过 Microsoft Power BI 数据分析师认证。课程内容涵盖 Power BI 数据分析的整个生命周期,包括: * **数据准备**:从不同数据源获取数据,进行数据清洗、转换和加载。 * **数据建模**:设计和开发数据模型,学习使用 DAX 创建计算,并优化模型性能。 * **数据可视化与分析**:创建交互式报表和仪表板,以及增强报表的可用性和叙事性,识别数据模式和趋势。 * **资产部署与维护**:将报表发布到 Power BI 服务,管理文件和数据集,以及维护工作区和安全设置。 该课程更新至 2023 年 9 月,提供终身访问权限和 30 天退款保证,非常适合希望在 Power BI 领域开启职业生涯并提升薪资水平(例如,年薪超过 10 万美元的职位)的学习者。

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课程详情

These are FULL-LENGTH tests that have been carefully built to help you crack the PL-300 - UPDATED September 2023.Are you looking to start your career with Power BI? Do you want that great job, but there is just one thing in the way, the PL-300? You have come to the right place. This practice test is the most efficient way to quickly ace the PL-300: Microsoft Power BI Data Analyst with a great score.There are tens of thousands of current openings for Power BI users, developers and administrators, with many of the positions paying upwards of 100,000 USD. By working through this course, you'll quickly gain the skills you need to accelerate your career and pass the Power BI PL-300 certification.Learn to connect to files and databases, edit a data model, profile, clean and and transform data, create interactive reports and dashboards, publish to the Power BI service, and modify security settings. You'll get familiar with the entire data analysis lifecycle.PL-300 Exam ObjectivesPrepare the data (15-20%)Model the data (30-35%)Visualize and analyze the data (30-35%)Deploy and maintain assets (10-15%)Course includes:Full lifetime access with all future updates30-Day Money-Back GuaranteeImportant 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 workspacesHappy Learning and All the Best!

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