PL-300T00 Design and Manage Analytics Solutions Using Power BI (PL-300 Exam Prep)
Nearly 90% of companies use analytics to make big decisions, but many still can't make sense of all the data they have. Your business data has huge potential, you just need to know how to use it.
Power BI is one of the most wanted skills in business intelligence today. Companies everywhere use it to turn messy data into clear insights they can act on. In this course, you’ll learn how to design and manage analytics solutions using Power BI by connecting to data sources, transforming raw data with Power Query, and developing insightful reports and dashboards that support business and technical requirements.
This official Microsoft course also includes targeted PL-300 exam preparation, equipping you with the skills and confidence to earn your Microsoft Certified: Power BI Data Analyst Associate certification.
What Is Included
- Expert-led training with real-world Power BI scenarios
- Official Microsoft courseware and practice exercises
- Hands-on labs and interactive demos
- Access to class recordings for 90 days
- Guaranteed-to-run dates available
- Flexible rescheduling options
By the end of this course, students will be able to design, build, and manage analytics solutions using Power BI. Training includes hands-on practice and PL-300 exam preparation.
- Import, transform, and shape data from multiple sources
- Develop data models using relationships, DAX, and performance tuning
- Create interactive reports and dashboards tailored to user needs
- Apply techniques for advanced analysis and secure data access
- Demonstrate readiness for the PL-300 Power BI Data Analyst certification
This course is designed for data analysts and business intelligence professionals who want to create actionable insights with Power BI. It’s also ideal for report developers who visualize data from on-prem or cloud-based platforms, and professionals preparing for the PL-300 exam.
- Understanding core data concepts.
- Knowledge of working with relational data in the cloud.
- Knowledge of working with non-relational data in the cloud.
- Knowledge of data analysis and visualization concepts.
- DP-900T00 Microsoft Azure Data Fundamentals is recommended
- Overview of data analysis, roles, and tasks.
- Power BI basics, building blocks, and service tour.
- End-to-end analytics with Fabric, data teams, and enablement.
- Use Copilot in Power BI for data prep, modeling, and report creation.
- Get data from files, databases, online services, and Azure sources.
- Fix errors, select storage modes, and resolve performance issues.
- Clean, transform, and load data with shaping, profiling, and M code.
- Choose model frameworks: Import, DirectQuery, Composite.
- Configure semantic models (tables, relationships, hierarchies, measures).
- Write DAX formulas, create calculations, and apply time intelligence.
- Create visual calculations and optimize performance.
- Scope design requirements and audience needs.
- Build effective layouts, visuals, filters, and slicers.
- Enhance reports with bookmarks, navigation, visual headers, and mobile optimization.
- Perform statistical summaries, clustering, outlier detection, and time series.
- Use what-if parameters, specialized visuals, and the Analyze feature.
- Manage workspaces, publish to Power BI service.
- Configure semantic model refresh, incremental updates, and query caching.
- Apply lineage, impact analysis, and promote models.
- Choose distribution methods and create Power BI apps.
- Apply governance principles and track usage.
- Secure data with row-level security, SSO, and object-level restrictions.
- Create dashboards, configure alerts, and enable Q&A exploration.
- Pin live reports, apply themes, and set mobile views.