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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pl-300-microsoft-power-bi-data-analyst-practice-exam-wpbqs/
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课程名称:PL-300:Microsoft Power BI 数据分析师实践考试与实验 课程概述:在当今数据驱动的世界中,企业高度依赖数据分析来做出明智的商业决策,因此对具备数据分析能力的专业人士的需求急剧上升。Microsoft Power BI 是一款广受欢迎的数据分析工具,PL-300 认证专注于培养合格的 Microsoft Power BI 数据分析师。 Microsoft Power BI 是一种商业智能工具,用户可以利用它分析和可视化来自不同来源的数据。其用户友好的界面和强大的功能使组织能够从数据中获取宝贵的见解,进而做出以数据驱动的决策,提高业务表现。 作为 Power BI 数据分析师,您需要收集、分析和解读复杂的数据集,帮助组织理解趋势、进行预测并识别潜在机会。您将使用 Power BI 创建直观的报告、仪表板和交互式可视化,帮助利益相关者更好地理解数据。 通过获得 Power BI 数据分析师认证,可以证明您对自己的专业发展的承诺,提升职业前景,在竞争激烈的就业市场中脱颖而出。 PL-300 认证专为那些专注于设计和实施 Power BI 解决方案的专业人士而设,该认证验证您在使用 Power BI 构建可扩展和可靠的商业智能解决方案方面的知识和技能。 考试信息: - 考试名称:Microsoft Certified - Power BI Data Analyst Associate - 考试代码:PL-300 - 考试费用:165 美元 - 题目数量:最多 40-60 个问题 - 题型:选择题(单选和多选)、拖放题和基于绩效的题目 - 考试时长:180 分钟 - 评分标准:通过分数 700 / 1000 - 考试语言:英语、德语和日语 课程内容: 1. 准备数据(25-30%) 2. 建模数据(25-30%) 3. 可视化和分析数据(25-30%) 4. 部署和维护资产(15-20%) PL-300 认证的好处包括: - 全球认可的证书,突出您在 Power BI 数据分析方面的专业能力。 - 在竞争激烈的职场中脱颖而出,增加职业晋升的机会。 - 认证专业人士通常能赢得更高的薪资。 - 通过微软认证平台与 Power BI 专家和专业人士建立联系。 总之,PL-300 认证为希望成为 Power BI 数据分析师的个人开启了广泛的职业机会。通过此认证,您将深刻理解 Power BI 的功能、设计与实施最佳实践以及与其他工具和服务的集成。因此,如果您对数据分析充满热情,想在商业智能领域中脱颖而出,获得 PL-300 证书是对您职业发展的明智投资。
PL-300: Microsoft Power BI Data AnalystIn today's data-driven world, organizations rely heavily on data analysis to make informed business decisions. As a result, the demand for skilled data analysts who can effectively harness the power of data has skyrocketed. One such tool that has gained immense popularity in recent times is Microsoft Power BI. In this article, we will explore the PL-300 certification, which focuses specifically on becoming a Microsoft Power BI Data Analyst.What is Microsoft Power BIMicrosoft Power BI is a business intelligence tool that allows users to analyze and visualize data from various sources. With its user-friendly interface and powerful features, Power BI enables organizations to gain valuable insights from their data, make data-driven decisions, and ultimately improve business performance.The Role of a Power BI Data AnalystA Power BI Data Analyst is responsible for gathering, analyzing, and interpreting complex data sets to help organizations understand trends, make forecasts, and identify untapped opportunities. They create visually appealing reports, dashboards, and interactive visualizations using Power BI, making it easier for stakeholders to consume and comprehend the data.Why Get Certified as a Power BI Data AnalystWhile experience and proficiency in Power BI can certainly boost your career prospects, obtaining a certification in Power BI showcases your dedication, expertise, and commitment to professional development. It provides formal recognition of your skills as a Power BI Data Analyst and sets you apart from the competition in a highly competitive job market.Introducing the PL-300 CertificationThe PL-300: Microsoft Power Platform solution architect certification is designed for professionals who specialize in designing and implementing Power BI solutions. This certification validates your knowledge and skills in building scalable and reliable business intelligence solutions using Power BI.Microsoft Power BI Data Analyst (PL-300) Certification Practice Exam details:Exam Name: Microsoft Certified - Power BI Data Analyst AssociateExam Code: PL-300Exam Fee $165 (USD)Number of Questions: Maximum of 40-60 questions,Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,Length of Test: 180 Minutes. The exam is available in English, German, and Japanese languages.Passing Score 700 / 1000Languages: English at launch.Schedule Exam: Pearson VUEMicrosoft Power BI Data Analyst (PL-300) Certification Exams skill questions:#) Prepare the data (25-30%)Get data from data sourcesIdentify and connect to a data sourceChange data source settings, including credentials, privacy levels, and data source locationsSelect a shared dataset, or create a local datasetChoose between DirectQuery, Import, and Dual modeChange the value in a parameterClean the dataEvaluate data, including data statistics and column propertiesResolve inconsistencies, unexpected or null values, and data quality issuesResolve data import errorsTransform and load the dataSelect appropriate column data typesCreate and transform columnsTransform a queryDesign a star schema that contains facts and dimensionsIdentify when to use reference or duplicate queries and the resulting impactMerge and append queriesIdentify and create appropriate keys for relationshipsConfigure data loading for queries#) Model the data (25-30%)Design and implement a data modelConfigure table and column propertiesImplement role-playing dimensionsDefine a relationship's cardinality and cross-filter directionCreate a common date tableImplement row-level security rolesCreate model calculations by using DAXCreate single aggregation measuresUse CALCULATE to manipulate filtersImplement time intelligence measuresIdentify implicit measures and replace with explicit measuresUse basic statistical functionsCreate semi-additive measuresCreate a measure by using quick measuresCreate calculated tablesOptimize model performanceImprove performance by identifying and removing unnecessary rows and columnsIdentify poorly performing measures, relationships, and visuals by using Performance AnalyzerImprove performance by choosing optimal data typesImprove performance by summarizing data#) Visualize and analyze the data (25-30%)Create reportsIdentify and implement appropriate visualizationsFormat and configure visualizationsUse a custom visualApply and customize a themeConfigure conditional formattingApply slicing and filteringConfigure the report pageUse the Analyze in Excel featureChoose when to use a paginated reportEnhance reports for usability and storytellingConfigure bookmarksCreate custom tool-tipsEdit and configure interactions between visualsConfigure navigation for a reportApply sortingConfigure sync slicersGroup and layer visuals by using the Selection paneDrill down into data using interactive visualsConfigure export of report content, and perform an exportDesign reports for mobile devicesIncorporate the Q & A feature in a reportIdentify patterns and trendsUse the Analyze feature in Power BIUse grouping, binning, and clusteringUse AI visualsUse reference lines, error bars, and forecastingDetect outliers and anomaliesCreate and share scorecards and metrics#) Deploy and maintain assets (15-20%)Create and manage work-spaces and assetsCreate and configure a workspaceAssign workspace rolesConfigure and update a workspace appPublish, import, or update assets in a workspaceCreate dashboardsChoose a distribution methodApply sensitivity labels to workspace contentConfigure subscriptions and data alertsPromote or certify Power BI contentManage global options for filesManage datasetsIdentify when a gateway is requiredConfigure a dataset scheduled refreshConfigure row-level security group membershipProvide access to datasetsBenefits of PL-300 CertificationRecognition: Earn a globally recognized certification that highlights your expertise in Power BI data analysis.Career Advancement: Stand out in a competitive job market and increase your chances of career progression as a Power BI Data Analyst.Increased Earning Potential: Certified professionals often command higher salaries, as their skills are in high demand.Networking Opportunities: Connect with a community of Power BI experts and professionals through Microsoft's certification platform.In conclusion, the PL-300: Microsoft Power BI Data Analyst certification opens up a world of opportunities for individuals interested in a career as a Power BI Data Analyst. Through this certification, you will gain a deep understanding of Power BI's capabilities, design and implementation best practices, and integration with other tools and services. So, if you are passionate about data analysis and want to excel in the field of business intelligence, obtaining the PL-300 certification is a smart investment in your professional growth.