Build Power BI expertise. Learn Data Preparation, Modeling, Visualization, Deployment to ace the Microsoft PL-300 Exam.

What you'll learn

Prepare for the PL-300 Exam: Practice with mock exams and case studies tailored for the Microsoft Power BI Data Analyst certification.
Understand Data Analytics Foundations: Gain a comprehensive understanding of data analytics concepts, roles, and latest trends in the field.
Explore Types of Data Analysis: Learn the differences between descriptive, diagnostic, predictive, and prescriptive analytics and their practical applications.
Understand Power BI Architecture: Familiarize yourself with the components of Power BI, including Desktop, Service, Mobile, and Premium, and their integration.
Master Data Preparation Techniques: Connect to and transform raw data, handle missing values, and manage multiple data sources using Power Query.
Build Robust Data Models: Develop data models with star schemas, create relationships, and apply advanced DAX calculations for effective data analysis.
Enhance Data Security: Implement Row-Level Security (RLS) to manage and restrict data access.
Create Interactive Visualizations: Design engaging and interactive reports, dashboards, and KPIs that facilitate better decision-making.
Optimize Reporting Performance: Learn techniques to optimize Power BI reports for faster performance and scalability.
Explore Deployment and Maintenance: Deploy Power BI reports, manage governance and security, and leverage Power BI Premium and API integrations for enterprises.
Leverage the Power Platform Ecosystem: Understand the functionalities of Power Automate, Power Apps, Power Pages, and their integration with Power BI.
Understand Microsoft Fabric: Explore Microsoft Fabric's capabilities in data governance, pipelines, and integration with Power BI and the Power Platform.
Implement Advanced Power Platform Use Cases: Develop AI-enhanced workflows, multi-stage processes, and custom connectors for extended functionality.
Solve Real-World Case Studies: Apply acquired skills to real-world business scenarios, tackling complex data analytics problems.
Explore Career Opportunities: Discover data analytics career paths and prepare for roles like Data Analyst and Business Intelligence Developer.

Requirements

Enthusiasm and determination to make your mark on the world!

Description

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 Analytics

Overview

of Data Analytics: History, importance, and applicationsRoles in dаta: 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 dаta: 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 Automate

Overview

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.

Who this course is for

Aspiring Data Analysts preparing for the Microsoft PL-300 certification.
Professionals transitioning to data analytics or business intelligence roles.
Existing Power BI users seeking advanced skills in data modeling, visualization, and deployment.
IT and business professionals interested in leveraging the Power Platform ecosystem.
Data Scientists aiming to enhance their visualization and reporting skills.
Marketing Analysts seeking to derive insights and create impactful dashboards.
Data Consultants providing analytics and visualization solutions for clients.
Product Owners/Managers integrating data-driven insights into product strategies.
Team leaders or managers responsible for data-driven decision-making.
Students and graduates exploring a career in data analytics.
Developers and IT administrators integrating Power BI with enterprise systems.
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https://www.udemy.com/course/microsoft-power-bi-data-analyst-pl-300-certification-prep/