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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-power-bi-data-analyst-pl-300-certification-prep/
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课程名称：Microsoft Power BI 数据分析师：PL-300 认证准备 概述：欢迎参加由Uplatz提供的Microsoft Power BI 数据分析师：PL-300 认证准备课程。Microsoft PL-300考试旨在验证使用Power BI进行数据分析和提供可操作洞察力所需的知识和技能。以下是考试的关键细节： - 考试名称：Microsoft Power BI 数据分析师 - 考试代码：PL-300 - 认证：Microsoft认证：Power BI 数据分析师助理 - 目标受众：数据分析师、商业智能专业人士和Power BI用户 - 考试时长：约120分钟 - 及格分数：700（满分1000） - 考试费用：165美元（因地区而异） 技能测评： 1. 数据准备（15-20%）：连接数据源，使用Power Query转换数据，清理和加载数据等。 2. 数据建模（30-35%）：设计和开发数据模型，优化模型性能，使用DAX进行计算等。 3. 数据可视化与分析（25-30%）：创建和自定义可视化，构建仪表板和交互式报告。 4. 资源部署与维护（20-25%）：发布和分享Power BI报告，管理工作区环境和用户权限等。 考试格式： - 问题类型：多项选择、拖放、案例研究、基于性能的实验（互动模拟） - 语言：英语、日语、简体中文、德语和西班牙语 理想候选人： - 使用Power BI将原始数据转化为有意义的洞察的专业人士。 - 负责设计和建立可扩展数据解决方案的个人。 - 希望验证Power BI专业知识的数据分析师。 课程大纲： 阶段1：数据分析与Power平台介绍 - 数据分析的概述及其历史、重要性和应用。 - 各类数据分析方法的定义及用途。 - Power BI的介绍及其现代数据分析中的作用。 - Power Automate和Power Apps的基本知识及应用。 阶段2：Power BI的准备、建模、可视化与维护 - 连接、清理和管理多种数据源。 - 使用星形架构进行数据建模及DAX计算。 - 创建交互式可视化、实施高级分析和优化性能。 阶段3：Power平台应用与Microsoft Fabric - 构建和部署应用程序，自动化工作流程。 - 理解数据管道和治理，集成Power BI。 - 实际项目与考试准备，包括案例研究和实践测试。 这个课程结合了Power BI的数据分析和商业解决方案的广泛主题，适合希望提升其数据分析技能的专业人员。
A warm welcome to the Microsoft Power BI Data Analyst: PL-300 Certification Prep course by Uplatz.The Microsoft PL-300 Exam (Power BI Data Analyst) is designed to validate the knowledge and skills required to analyze data using Power BI and deliver actionable insights.Below are the key details of the exam:Exam DetailsExam Name: Microsoft Power BI Data AnalystExam Code: PL-300Certification: Microsoft Certified: Power BI Data Analyst AssociateTarget Audience: Data Analysts, Business Intelligence Professionals, and Power BI UsersDuration: 120 minutes (approximately)Passing Score: 700 (on a scale of 100-1000)Cost: $165 USD (varies by region)Skills MeasuredPrepare the Data (15-20%)Connect to data sources and transform data using Power Query.Clean, profile, and load data into Power BI.Resolve errors and optimize data loading.Model the Data (30-35%)Design and develop data models.Optimize model performance.Define and implement calculations using DAX.Create and manage hierarchies, relationships, and security settings.Visualize and Analyze the Data (25-30%)Create and customize visualizations.Build dashboards and interactive reports.Implement advanced analytics, such as key influencers and forecasting.Optimize performance of visuals and dashboards.Deploy and Maintain Assets (20-25%)Publish and share Power BI reports and dashboards.Manage workspace environments and user permissions.Implement governance, security, and compliance in Power BI.Integrate Power BI with other applications and platforms.Exam FormatQuestion Types:Multiple ChoiceDrag-and-DropCase StudiesPerformance-based Labs (interactive simulations)Languages Available: English, Japanese, Simplified Chinese, German, and Spanish.Ideal CandidatesProfessionals who use Power BI to transform raw data into meaningful insights.Individuals responsible for designing and building scalable data solutions for businesses.Data analysts looking to validate their Power BI expertise.What is Power BI?Microsoft Power BI is a business analytics tool that enables users to visualize data, share insights, and create interactive dashboards and reports. It allows businesses to analyze data from various sources and derive actionable insights for better decision-making. Power BI integrates with numerous data sources, providing a unified platform for data analysis and business intelligence.How Power BI WorksConnect to Data SourcesPower BI can connect to a wide range of data sources, including Excel, SQL Server, Azure, SharePoint, cloud-based services, and APIs.Use Power Query to clean, transform, and load data into the model.Data ModelingCreate relationships between data tables and apply business rules.Use DAX (Data Analysis Expressions) for custom calculations and measures.Create VisualizationsBuild interactive charts, graphs, and dashboards using drag-and-drop functionality.Customize visuals to meet specific business requirements.Share InsightsPublish dashboards and reports to the Power BI Service for collaboration.Embed reports in websites, apps, or Microsoft Teams.Real-time AnalyticsMonitor real-time data from sources like IoT devices or streaming data feeds.Governance and SecurityManage permissions, implement Row-Level Security (RLS), and ensure compliance with governance policies.Key Features of Power BIEase of UseUser-friendly interface with drag-and-drop functionality and pre-built templates.Wide Range of Data ConnectorsConnect to over 100+ data sources, including databases, cloud services, APIs, and on-premises systems.Powerful Data Transformation (Power Query)Clean, merge, and transform raw data into a usable format without coding.Advanced Data ModelingCreate complex relationships, hierarchies, and calculated measures using DAX.Interactive VisualizationsBuild dynamic reports with slicers, filters, and drill-through functionality.AI-Powered InsightsLeverage features like key influencers, smart narratives, and machine learning integration for advanced analytics.Collaboration and SharingShare reports via the Power BI Service, integrate with Microsoft Teams, and export to formats like PDF or Excel.Mobile ReportingAccess and interact with reports on mobile devices using the Power BI Mobile app.Real-time Data AnalyticsMonitor and analyze streaming data in real-time for IoT applications and dashboards.Integration with Microsoft EcosystemSeamlessly integrates with other Microsoft products like Excel, Azure, SharePoint, and Dynamics 365.Power BI EmbeddedEmbed Power BI reports and dashboards into custom applications using Power BI Embedded.Governance and SecuritySupports Row-Level Security, Azure Active Directory integration, and compliance with industry standards like GDPR.Why Use Power BI?For Business Users: Quickly create insights without deep technical knowledge.For Data Analysts and Engineers: Build complex models and derive advanced insights.For Enterprises: Centralize analytics, ensure data governance, and enable data-driven decision-making.With its robust capabilities and integration within the Microsoft ecosystem, Power BI is a versatile tool suitable for organizations of all sizes.Microsoft Power BI Data Analyst: PL-300 Certification Prep - Course CurriculumPhase 1: Introduction to Data Analytics & Power PlatformLecture 1 - Lecture 6Lecture 1: Introduction to Data AnalyticsOverview of Data Analytics: History, importance, and applicationsRoles in Data: Data Analyst, Data Engineer, Data Scientist, and Business Intelligence DeveloperLatest Data Trends in 2024: Emerging technologies and their business impactsLecture 2: Types of Data AnalysisDescriptive, Diagnostic, Predictive, and Prescriptive Analytics: Definitions and use casesData Sources: Structured, semi-structured, and unstructured dataIntroduction to Big Data: Understanding its impact on analyticsLecture 3: Introduction to Power BIWhat is Power BI: Overview and its role in modern data analyticsPower BI Architecture: Desktop, Service, Mobile, and PremiumLatest Features and Updates in Power BI (2024)Lecture 4: Introduction to Power AutomateOverview of Power Automate: Basics of workflow automationIntegrating Power Automate with Microsoft 365 ToolsPractical Use Cases of Power Automate in BusinessLecture 5: Introduction to Power Apps and DataversePower Apps: Creating low-code applications for businessesDataverse: Understanding its role in supporting the Power PlatformConnecting Power Apps to Dataverse and Building Scalable AppsLecture 6: Introduction to Microsoft Fabric & Course ScopeWhat is Microsoft Fabric: Data governance and integration platformIntegration of Microsoft Fabric with Power BI and Power PlatformScope of the Course: How the topics fit into broader data analytics and business solutionsPhase 2: Power BI - Data Preparation, Modeling, Visualization & MaintenanceLecture 7 - Lecture 36Module 1: Data PreparationLecture 7 - Lecture 11Connecting and cleaning raw data, handling missing values, advanced transformations using Power Query, and managing multiple data sources.Module 2: Data ModelingLecture 12 - Lecture 16Star schema, relationships, advanced DAX calculations, managing data security with Row-Level Security (RLS).Module 3: Data Visualization and AnalysisLecture 17 - Lecture 27Building interactive visuals, implementing advanced analytics, creating KPIs and dashboards, optimizing performance, and exploring mobile reporting.Module 4: Deployment and MaintenanceLecture 28 - Lecture 36Deploying reports, administering Power BI, managing governance and security, exploring Power BI Premium, API integrations, and real-world use cases.Phase 3: Power Platform Applications and Microsoft FabricLecture 37 - Lecture 60Module 1: Power AppsLecture 37 - Lecture 38Building and deploying apps, integrating with SharePoint and other data sources.Module 2: Power AutomateLecture 39 - Lecture 40Automating workflows, building advanced approvals, troubleshooting flows.Module 3: Power PagesLecture 41 - Lecture 42Creating user-friendly websites, managing security, and embedding Power Apps.Module 4: Microsoft FabricLecture 43 - Lecture 44Understanding data pipelines, governance, and integrating with Power BI.Module 5: Advanced Power Platform Use CasesLecture 45 - Lecture 56Multi-stage workflows, AI Builder, extending capabilities with custom connectors and Azure integrations.Module 6: Real-World Projects and Exam PreparationLecture 57 - Lecture 60Solving case studies, practice exams, interview preparation, and exploring career opportunities.
