
Plan to clear PL-300 with a four-key-skills path. Focus on preparing the data for analysis, model the data, visualize and analyze data, and manage and secure Power BI.
Explore how data analysts turn raw data into insights and stories using Power BI, covering identifying data, cleaning, transforming, modeling, and visualizing, through the four analytics lenses.
Learn to get started building with Power BI by connecting data, transforming with Power Query Editor, modeling relationships, and publishing reports to Power BI services for dashboards and mobile access.
Explore end-to-end analytics with Microsoft Fabric, learn how one lake unifies data, and get started with Copilot in Power BI to build and explore interactive reports.
connect Power BI to diverse data sources—from flat files and Excel to online services and NoSQL—by using get data, load, and Power Query transformations.
Get started with Power BI desktop by connecting to a SQL Server data source, previewing data in Power Query Editor, and importing data from a CSV, through a hands-on lab.
Learn to clean, transform, and load data in Power BI with Power Query Editor, including promoting headers, renaming columns, and appending or merging queries.
Perform a hands-on exercise to load data in Power BI Desktop, aligning with the PL-300 Microsoft Power BI Data Analyst Certification.
Configure a semantic model in Power BI to model data, define relationships and hierarchies, and enable precise cross-filtering for insightful analytics.
Configure a semantic model in Power BI Desktop by building relationships, hierarchies, and data categories; create quick measures and manage many-to-many relationships for accurate visuals.
Explore time intelligent functions in Power BI to calculate year-to-date, quarter-to-date, and same-period-last-year measures. Use a date table and built-in total YTD for automatic time filtering across periods.
Learn how visual calculations in Power BI Desktop create visual-specific DAX expressions, enabling running totals, moving averages, and year-on-year comparisons without cluttering the model.
Master performance optimization in Power BI by designing lean semantic models, using correct data types, measures, and aggregations; analyze bottlenecks with performance analyzer and improve query speed.
Explore how to design effective Power BI reports by identifying audiences, choosing the right report type, and defining UI and UX requirements for executive, analyst, and information worker roles.
Design Power BI reports by integrating the semantic model, report pages, and visuals from Power BI desktop to Power BI service, applying alignment, balance, proximity, and color for clarity.
Design Power BI reports by building a three-page dashboard with synchronized slicers, multiple visuals, and publish-ready outputs from Power BI Desktop.
Explore enhanced Power BI report designs to improve the user experience, including tooltips, drill-through, bookmarks, navigation, conditional formatting, and mobile layouts.
Drive analytics in Power BI by using AI visuals like key influencers and decomposition tree, perform statistical summaries, bins and clustering, and forecast with time series and what-if parameters.
Explore Power BI reports and content distribution with aligned KPIs and clear line charts, plus book and ebook access on Power BI, Python, and Power Query Editor for career guidance.
Learn to create dashboards in Power BI by pinning visuals, setting year filters, using Q&A for sales YTD insights, and publishing and refreshing in the workspace.
Learn to secure data access in Power BI using row-level and object-level security, with roles defined by DAX functions like user principal name and SSO for direct query.
Are you preparing for the PL-300 Microsoft Power BI Data Analyst Associate certification or looking to master Power BI for real-world data analytics? This course is designed to help you learn Power BI from scratch and confidently clear the PL-300 exam.
In this complete, hands-on course, you’ll learn how to prepare, model, visualize, and analyze data using Power BI, exactly as expected in the PL-300 exam and in professional data analyst roles. Every topic is aligned with the official Microsoft PL-300 skills outline, making this course ideal for both certification aspirants and working professionals.
You’ll work with real datasets, build interactive dashboards, and write DAX calculations step by step. Concepts like Power Query, data modeling, relationships, time intelligence, performance optimization, and report design best practices are explained in a simple, practical manner.
This course also includes hands-on labs, exam-focused explanations, and practical tips to help you avoid common PL-300 mistakes. Whether you are a student, business user, or IT professional, this course will help you gain the skills needed to pass the exam and apply Power BI confidently at work.
In addition to technical skills, this course also covers PL-300 exam strategies, including how to read and interpret exam questions, common traps to avoid, time management techniques, and how Microsoft tests real-world scenarios. You’ll learn how to approach case-study questions, scenario-based questions, and performance-based tasks with confidence, based on real exam patterns and instructor experience.
By the end of this course, you’ll be exam-ready, project-ready, and job-ready.