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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dp-500-azure-enterprise-data-analyst/
课程评论：没有评论
课程名称：DP-500 实践测试：Azure 企业数据分析师考试 课程概述：该课程提供了全面的模拟测试，专为帮助考生顺利通过 DP-500 考试而设计，最新更新时间为2024年3月。如果你想以 Azure 企业数据分析师的身份开始职业生涯，那么通过这个课程，你将掌握快速通过 DP-500 考试所需的知识，帮助你获得更高的工作机会，目前很多数据分析师、开发人员和管理员的职位薪资可达100,000美元以上。课程内容涵盖利用 Microsoft Azure 和 Microsoft Power BI 设计和实施企业级分析解决方案所需的技能。 在课程中，你将学习如何管理云端和本地的数据存储和数据处理，熟悉 Power Query 和数据分析表达式 (DAX)，以及使用 Azure Synapse Analytics 消耗数据，同时需要掌握使用 Transact-SQL (T-SQL) 查询关系数据库和数据可视化。 测评技能包括： - 实施和管理数据分析环境（25-30%） - 查询和转换数据（20-25%） - 实施和管理数据模型（25-30%） - 探索和可视化数据（20-25%） 此考试评测你完成以下技术任务的能力：实施和管理数据分析环境、查询和转换数据、实施和管理数据模型，以及探索和可视化数据。考试通过分数为700分。
These are FULL-LENGTH tests that have been carefully built to help you crack the DP-500 - UPDATED March 2024Are you looking to start your career with Azure Enterprise Data Analyst? Do you want that great job, but there is just one thing in the way, the DP-500? You have come to the right place. This practice test is the most efficient way to quickly ace the DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI with a great score.There are thousands of current openings for Data Analyst 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 DP-500 certification.Learn how to manage data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX) also learn consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data.Skills measuredImplement and manage a data analytics environment (25-30%)Query and transform data (20-25%)Implement and manage data models (25-30%)Explore and visualize data (20-25%)This exam measures your ability to accomplish the following technical tasks: implement and manage a data analytics environment; query and transform data; implement and manage data models; and explore and visualize data.Passing score: 700.
