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Microsoft Power BI Data Analyst

Master Power BI and Microsoft Power Platform tools to analyze, visualize, and deploy data solutions aligned with PL-300 certification goals.
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Save 72% Offer ends on 31-May-2025
Course Duration: 60 Hours
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Microsoft Power BI Data Analyst: PL-300 Exam Preparation – Self-Paced Online Course

This course is designed to fully prepare aspiring data professionals for the Microsoft Certified: Power BI Data Analyst Associate (PL-300) certification. Through real-world use cases, hands-on practice, and expert guidance, you'll gain the analytical and technical skills necessary to connect data sources, model and analyze data, and deliver business intelligence insights using Power BI.

You'll also learn to automate workflows using Power Automate, create custom business applications with Power Apps, and explore enterprise data solutions using Microsoft Fabric. Covering both theoretical foundations and practical execution, this course ensures you’re ready for the PL-300 exam and real-world Power BI implementation.

Course Objectives Back to Top

By the end of this course, learners will be able to:

  1. Understand key concepts in data analytics and the Microsoft Power Platform.
  2. Connect to, transform, and prepare data using Power Query.
  3. Create data models using DAX and manage relationships effectively.
  4. Design impactful dashboards and reports using Power BI visuals.
  5. Deploy and manage data solutions using Power BI Service and Premium.
  6. Automate workflows using Power Automate and build apps with Power Apps.
  7. Integrate Power BI with Microsoft Fabric for governance and scalability.
  8. Work on real-world projects aligned with PL-300 exam objectives.
  9. Prepare confidently for Microsoft PL-300 exam certification.
Course Syllabus Back to Top

Course Syllabus:

Phase 1: Introduction to Data Analytics & Power Platform (Lecture 1–6)

  • Introduction to Data Analytics
    • Importance, applications, data roles, and trends (2024)
  • Types of Data Analysis
    • Descriptive, diagnostic, predictive, prescriptive
    • Data types and Big Data introduction
  • Introduction to Power BI
    • Architecture: Desktop, Service, Premium
    • Latest updates in Power BI
  • Introduction to Power Automate
    • Workflow automation with Microsoft 365 integration
  • Introduction to Power Apps & Dataverse
    • Low-code apps and scalable app development
  • Introduction to Microsoft Fabric
    • Unified data governance and integration platform

Phase 2: Power BI – Data Preparation, Modeling, Visualization & Maintenance (Lecture 7–36)

  • Data Preparation (Lecture 7–11)
    • Power Query, data cleansing, merging, advanced transformations
  • Data Modeling (Lecture 12–16)
    • Star schema, relationships, advanced DAX, and RLS
  • Data Visualization and Analysis (Lecture 17–27)
    • Dashboards, KPIs, slicers, drill-throughs, mobile reports
  • Deployment and Maintenance (Lecture 28–36)
    • Workspace management, publishing, APIs, Premium licensing, governance

Phase 3: Power Platform Applications & Microsoft Fabric (Lecture 37–60)

  • Power Apps (Lecture 37–38)
    • Build apps, connect with SharePoint and Dataverse
  • Power Automate (Lecture 39–40)
    • Build and troubleshoot flows, approval automation
  • Power Pages (Lecture 41–42)
    • Build websites, embed Power Apps, manage access
  • Microsoft Fabric (Lecture 43–44)
    • Data pipelines, security, integration with Power BI
  • Advanced Power Platform Use Cases (Lecture 45–56)
    • Multi-stage workflows, AI Builder, Azure connectors
  • Projects & PL-300 Exam Preparation (Lecture 57–60)
    • Real-world case studies, mock exams, interview readiness
Certification Back to Top

Upon completing this course, learners will receive a Course Completion Certificate from Uplatz, validating their expertise in Power BI and readiness for the Microsoft PL-300 exam.

This certificate demonstrates a solid understanding of business intelligence, data modeling, visualization, and automation using the Microsoft Power Platform—a strong asset for your career in data analytics.

Career & Jobs Back to Top

Mastering Power BI and related Microsoft tools opens doors to diverse roles across industries. Career paths include:

  1. Power BI Data Analyst
  2. Business Intelligence Developer
  3. Data Analyst (Microsoft Stack)
  4. Power Platform Specialist
  5. Dashboard & Reporting Analyst
  6. Microsoft Certified BI Consultant
  7. Automation Analyst with Power Automate
  8. Microsoft Fabric Integration Specialist

Organizations worldwide rely on data-driven decision-making. Microsoft-certified analysts are in high demand for their ability to transform raw data into actionable insights.

Interview Questions Back to Top
  1. What is the role of Power BI in modern data analytics?
    Power BI is used to connect, model, visualize, and share data insights across organizations to support data-driven decisions.
  2. What are DAX functions in Power BI?
    DAX (Data Analysis Expressions) is a formula language used for calculations in Power BI data models, similar to Excel functions.
  3. How does Power BI handle data modeling?
    Power BI uses relationships, star schemas, and DAX calculations to create efficient and meaningful data models.
  4. What is Row-Level Security (RLS)?
    RLS restricts data access for users based on filters defined in the Power BI model, ensuring secure reporting.
  5. What are the main components of Power BI?
    Power BI Desktop, Power BI Service, Power BI Mobile, and Power BI Report Server.
  6. How do Power Automate and Power BI integrate?
    Power Automate can trigger flows based on Power BI alerts or schedule data refresh actions automatically.
  7. What is Microsoft Fabric and how does it relate to Power BI?
    Microsoft Fabric is a unified platform for data governance, ETL, and analytics, integrated with Power BI for end-to-end workflows.
  8. How are KPIs and dashboards created in Power BI?
    Using visual elements like cards, gauges, and slicers tied to metrics and conditional formatting rules.
  9. What is the difference between Import Mode and DirectQuery in Power BI?
    Import loads data into Power BI for faster performance; DirectQuery queries the data source live but may be slower.
  10. How should one prepare for the PL-300 certification exam?
    By mastering the Power BI skills across data preparation, modeling, visualization, deployment, and taking practice exams.
Course Quiz Back to Top
Start Quiz
  1. Is this course aligned with the PL-300 certification exam?
    Yes, it is structured according to the official Microsoft PL-300 syllabus with exam-aligned modules and mock tests.
  2. Is this course suitable for beginners in data analytics?
    Yes, it starts from the basics and builds up to advanced Power BI and Power Platform applications.
  3. Will I receive a certificate after completing the course?
    Yes, a Course Completion Certificate from Uplatz will be issued.
  4. Are hands-on projects included?
    Yes, each phase includes real-world projects, labs, and practice datasets.
  5. What tools are covered in this course?
    Power BI, Power Automate, Power Apps, Power Pages, Microsoft Fabric.
  6. Does the course prepare for job interviews?
    Yes, it includes interview Q&A and career tips in the final module.
  7. How long do I have access to the course?
    Lifetime access is provided after enrollment.
  8. Do I need Microsoft 365 or Power BI Pro?
    The course uses Power BI Desktop, but Pro or Fabric accounts may be needed for deployment and premium features.
  9. Is support provided during the course?
    Yes, expert guidance and Q&A forums are available to assist learners.
  10. Can I access the course on mobile devices?
    Yes, the course is fully accessible on mobile, tablet, and desktop devices.



BUY THIS COURSE (USD 12 USD 41)