Microsoft Power BI Data Analyst: PL-300 Certification Prep

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 Details
Exam Name: Microsoft Power BI Data Analyst
Exam Code: PL-300
Certification: Microsoft Certified: Power BI Data Analyst Associate
Target Audience: Data Analysts, Business Intelligence Professionals, and Power BI Users
Duration: 120 minutes (approximately)
Passing Score: 700 (on a scale of 100-1000)
Cost: $165 USD (varies by region)
Skills Measured
Prepare 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 Format
Question Types:
Multiple Choice
Drag-and-Drop
Case Studies
Performance-based Labs (interactive simulations)
Languages Available: English, Japanese, Simplified Chinese, German, and Spanish.
Ideal Candidates
Professionals 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 Works
Connect to Data Sources
Power 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 Modeling
Create relationships between data tables and apply business rules.
Use DAX (Data Analysis Expressions) for custom calculations and measures.
Create Visualizations
Build interactive charts, graphs, and dashboards using drag-and-drop functionality.
Customize visuals to meet specific business requirements.
Share Insights
Publish dashboards and reports to the Power BI Service for collaboration.
Embed reports in websites, apps, or Microsoft Teams.
Real-time Analytics
Monitor real-time data from sources like IoT devices or streaming data feeds.
Governance and Security
Manage permissions, implement Row-Level Security (RLS), and ensure compliance with governance policies.
Key Features of Power BI
Ease of Use
User-friendly interface with drag-and-drop functionality and pre-built templates.
Wide Range of Data Connectors
Connect 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 Modeling
Create complex relationships, hierarchies, and calculated measures using DAX.
Interactive Visualizations
Build dynamic reports with slicers, filters, and drill-through functionality.
AI-Powered Insights
Leverage features like key influencers, smart narratives, and machine learning integration for advanced analytics.
Collaboration and Sharing
Share reports via the Power BI Service, integrate with Microsoft Teams, and export to formats like PDF or Excel.
Mobile Reporting
Access and interact with reports on mobile devices using the Power BI Mobile app.
Real-time Data Analytics
Monitor and analyze streaming data in real-time for IoT applications and dashboards.
Integration with Microsoft Ecosystem
Seamlessly integrates with other Microsoft products like Excel, Azure, SharePoint, and Dynamics 365.
Power BI Embedded
Embed Power BI reports and dashboards into custom applications using Power BI Embedded.
Governance and Security
Supports 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 Curriculum
Phase 1: Introduction to Data Analytics & Power Platform
Lecture 1 - Lecture 6
Lecture 1: Introduction to Data Analytics
Overview of Data Analytics: History, importance, and applications
Roles in Data: Data Analyst, Data Engineer, Data Scientist, and Business Intelligence Developer
Latest Data Trends in 2024: Emerging technologies and their business impacts
Lecture 2: Types of Data Analysis
Descriptive, Diagnostic, Predictive, and Prescriptive Analytics: Definitions and use cases
Data Sources: Structured, semi-structured, and unstructured data
Introduction to Big Data: Understanding its impact on analytics
Lecture 3: Introduction to Power BI
What is Power BI: Overview and its role in modern data analytics
Power BI Architecture: Desktop, Service, Mobile, and Premium
Latest Features and Updates in Power BI (2024)
Lecture 4: Introduction to Power Automate
Overview of Power Automate: Basics of workflow automation
Integrating Power Automate with Microsoft 365 Tools
Practical Use Cases of Power Automate in Business
Lecture 5: Introduction to Power Apps and Dataverse
Power Apps: Creating low-code applications for businesses
Dataverse: Understanding its role in supporting the Power Platform
Connecting Power Apps to Dataverse and Building Scalable Apps
Lecture 6: Introduction to Microsoft Fabric & Course Scope
What is Microsoft Fabric: Data governance and integration platform
Integration of Microsoft Fabric with Power BI and Power Platform
Scope of the Course: How the topics fit into broader data analytics and business solutions
Phase 2: Power BI - Data Preparation, Modeling, Visualization & Maintenance
Lecture 7 - Lecture 36
Module 1: Data Preparation
Lecture 7 - Lecture 11
Connecting and cleaning raw data, handling missing values, advanced transformations using Power Query, and managing multiple data sources.
Module 2: Data Modeling
Lecture 12 - Lecture 16
Star schema, relationships, advanced DAX calculations, managing data security with Row-Level Security (RLS).
Module 3: Data Visualization and Analysis
Lecture 17 - Lecture 27
Building interactive visuals, implementing advanced analytics, creating KPIs and dashboards, optimizing performance, and exploring mobile reporting.
Module 4: Deployment and Maintenance
Lecture 28 - Lecture 36
Deploying 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 Fabric
Lecture 37 - Lecture 60
Module 1: Power Apps
Lecture 37 - Lecture 38
Building and deploying apps, integrating with SharePoint and other data sources.
Module 2: Power Automate
Lecture 39 - Lecture 40
Automating workflows, building advanced approvals, troubleshooting flows.
Module 3: Power Pages
Lecture 41 - Lecture 42
Creating user-friendly websites, managing security, and embedding Power Apps.
Module 4: Microsoft Fabric
Lecture 43 - Lecture 44
Understanding data pipelines, governance, and integrating with Power BI.
Module 5: Advanced Power Platform Use Cases
Lecture 45 - Lecture 56
Multi-stage workflows, AI Builder, extending capabilities with custom connectors and Azure integrations.
Module 6: Real-World Projects and Exam Preparation
Lecture 57 - Lecture 60
Solving case studies, practice exams, interview preparation, and exploring career opportunities.