PL-300 Microsoft Power BI Data Analyst Associate Prep Course

What you'll learn
Understand the end-to-end data analytics workflow using Microsoft Power BI.
Understand what Power BI is and how data analysts use it in real-world scenarios.
Individuals who want to start a career as a Data Analyst or BI professional.
Real examples and hands-on exercises.
Requirements
A computer (Windows, macOS, or similar)
Internet access to download Power BI and access materials
Microsoft Power BI Desktop (free version is enough) installed - we'll show you how
Description
Disclaimer: "This course contains the use of artificial intelligence."PL-300: Microsoft Power BI Data Analyst Associate Certification Exam Prep Course is a comprehensive, hands-on training program designed to help aspiring data analysts, business intelligence professionals, and Power BI users master the skills required to pass the PL-300 certification exam and perform effectively in real-world data analysis roles.This course guides learners through the complete Power BI data analysis workflow. Students begin by learning how to connect to a wide range of data sources, including Excel files, databases, cloud services, and web data. They will gain in-depth experience in cleaning, transforming, and shaping data using Power Query, ensuring data accuracy and consistency for analysis.Learners will then move on to data modeling, where they will design relationships, build hierarchies, and create calculated columns and measures using Data Analysis Expressions (DAX). Special emphasis is placed on understanding core DAX concepts, such as context, aggregations, time intelligence, and performance optimization-key areas tested in the PL-300 exam.The course also focuses heavily on data visualization and storytelling. Students will learn to create interactive reports and dashboards using Power BI visuals, apply formatting and design best practices, and enable user interactivity through filters, slicers, drill-throughs, and bookmarks. These skills help transform raw data into meaningful insights that support business decision-making.In addition, learners will explore Power BI Service features, including publishing reports, sharing dashboards, managing datasets, setting up refresh schedules, and implementing Row-Level Security (RLS) to protect sensitive data. The course also covers performance tuning techniques and common troubleshooting scenarios encountered in professional Power BI environments.To ensure exam success, this course is fully aligned with Microsoft's official PL-300 exam objectives. It includes exam-focused explanations, real-world scenarios, practice questions, and proven test-taking strategies. Learners will gain a clear understanding of exam structure, question types, and scoring methods.Microsoft Power BI Data Analyst (PL-300) Certification 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 questionsrepare the data (25-30%)Model the data (25-30%)Visualize and analyze the data (25-30%)Manage and secure Power BI (15-20%)Prepare the data (25-30%)Get or connect to dataIdentify and connect to data sources or a shared semantic modelChange data source settings, including credentials and privacy levelsChoose between DirectQuery and ImportCreate and modify parametersProfile and clean 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 columnsGroup and aggregate rowsPivot, unpivot, and transpose dataConvert semi-structured data to a tableCreate fact tables and dimension tablesIdentify when to use reference or duplicate queries and the resulting impactMerge and append queriesIdentify and create appropriate keys for relationshipsConfigure data loading for queriesModel 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 tableIdentify use cases for calculated columns and calculated tablesCreate model calculations by using DAXCreate single aggregation measuresUse the CALCULATE functionImplement time intelligence measuresUse basic statistical functionsCreate semi-additive measuresCreate a measure by using quick measuresCreate calculated tables or columnsCreate calculation groupsOptimize model performanceImprove performance by identifying and removing unnecessary rows and columnsIdentify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query viewImprove performance by reducing granularityVisualize and analyze the data (25-30%)Create reportsSelect an appropriate visualFormat and configure visualsApply and customize a themeApply conditional formattingApply slicing and filteringConfigure the report pageChoose when to use a paginated reportCreate visual calculations by using DAXEnhance reports for usability and storytellingConfigure bookmarksCreate custom tooltipsEdit and configure interactions between visualsConfigure navigation for a reportApply sorting to visualsConfigure sync slicersGroup and layer visuals by using the Selection paneConfigure drill through navigationConfigure export settingsDesign reports for mobile devicesEnable personalized visuals in a reportDesign and configure Power BI reports for accessibilityConfigure automatic page refreshIdentify patterns and trendsUse the Analyze feature in Power BIUse grouping, binning, and clusteringUse AI visualsUse reference lines, error bars, and forecastingDetect outliers and anomaliesManage and secure Power BI (15-20%)Create and manage workspaces and assetsCreate and configure a workspaceConfigure and update a workspace appPublish, import, or update items in a workspaceCreate dashboardsChoose a distribution methodConfigure subscriptions and data alertsPromote or certify Power BI contentIdentify when a gateway is requiredConfigure a semantic model scheduled refreshSecure and govern Power BI itemsAssign workspace rolesConfigure item-level accessConfigure access to semantic modelsImplement row-level security rolesConfigure row-level security group membershipApply sensitivity labelsWhat Will Students Learn in This Course?By taking this course, students will gain the practical skills and exam knowledge required to confidently pass the PL-300: Microsoft Power BI Data Analyst Associate certification exam and perform effectively as a Power BI Data Analyst. Students will learn how to:Understand the Power BI ecosystem, including Power BI Desktop, Power BI Service, and Power BI MobileConnect to and import data from multiple data sources, such as Excel, CSV, databases, cloud platforms, and web dataClean, transform, and shape data using Power Query to prepare it for analysisDesign and build efficient data models, including tables, relationships, hierarchies, and calculated columnsCreate DAX measures to perform calculations, aggregations, time intelligence, and business logicApply best practices for data modeling and DAX performance optimizationDesign and develop interactive reports and dashboards using Power BI visualsUse filters, slicers, drill-throughs, bookmarks, and tooltips to enhance user interactionApply data visualization and storytelling best practices to communicate insights clearlyImplement Row-Level Security (RLS) and manage data access permissionsPublish, share, and manage reports and datasets in the Power BI ServiceConfigure data refresh, manage workspaces, and collaborate with stakeholdersOptimize report performance and troubleshoot common Power BI issuesUnderstand the PL-300 exam structure, question types, and scoring methodologyPractice with exam-style questions and real-world scenarios aligned to Microsoft's exam objectivesBy the end of this course, students will not only be well-prepared to pass the PL-300: Microsoft Power BI Data Analyst Associate certification exam but will also possess practical Power BI skills that can be immediately applied in business intelligence, reporting, and data analytics roles.
Who this course is for
Complete beginners with no prior experience in Power BI or data analytics.
Individuals who want to start a career as a Data Analyst or BI professional.
Students and recent graduates looking to build in-demand data skills.
Working professionals who want to add Power BI to their skill set
.Business users and managers who want to understand data through dashboards and reports.
IT and non-IT professionals transitioning into data or analytics roles.
Anyone preparing to pass the PL-300 certification exam.
Learners who prefer step-by-step guidance and hands-on practice.
Professionals who need to analyze, visualize, and share data confidently
In this course, students will learn how to use Microsoft Power BI to turn raw data into meaningful insights.
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