Microsoft Certified: Power BI Data Analyst Associate (PL300)

This three-day Microsoft certified course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

This training is a comprehensive preparation for the PL-300: Microsoft Power BI Data Analyst exam to earn the Microsoft Certified: Power BI Data Analyst Associate certification.

Module 1: Discover data analysis

• Overview of data analysis
• Roles in data
• Tasks of a data analyst

Module 2: Get started building with Power BI

• Use Power BI
• Building blocks of Power BI
• Tour and use the Power BI service

Module 3: Get data in Power BI

• Get data from files
• Get data from relational data sources
• Get data from a NoSQL database
• Get data from online services
• Select a storage mode
• Get data from Azure Analysis Services
• Fix performance issues
• Resolve data import errors

Module 4: Clean, transform, and load data in Power BI

• Shape the initial data
• Simplify the data structure
• Evaluate and change column data types
• Combine multiple tables into a single table
• Profile data in Power BI
• Use Advanced Editor to modify M code

Module 5: Design a semantic model in Power BI

• Work with tables
• Create a date table
• Work with dimensions
• Define data granularity
• Work with relationships and cardinality
• Resolve modeling challenges

Module 6: Add measures to Power BI Desktop models

• Create simple measures
• Create compound measures
• Create quick measures
• Compare calculated columns with measures

Module 7: Add calculated tables and columns to Power BI Desktop models

• Create calculated columns
• Learn about row context
• Choose a technique to add a column

Module 8: Use DAX time intelligence functions in Power BI Desktop models

• Use DAX time intelligence functions
• Additional time intelligence calculations
• Exercise - Create Advanced DAX Calculations in Power BI Desktop

Module 9: Optimize a model for performance in Power BI

• Introduction to performance optimization
• Review performance of measures, relationships, and visuals
• Use variables to improve performance and troubleshooting
• Reduce cardinality
• Optimize DirectQuery models with table level storage
• Create and manage aggregations

Module 10: Design Power BI reports

• Design the analytical report layout
• Design visually appealing reports
• Report objects
• Select report visuals
• Select report visuals to suit the report layout
• Format and configure visualizations
• Work with key performance indicators
• Exercise - Design a report in Power BI desktop

Module 11: Configure Power BI report filters

• Apply filters to the report structure
• Apply filters with slicers
• Design reports with advanced filtering techniques
• Consumption-time filtering
• Select report filter techniques
• Case study - Configure report filters based on feedback

Module 12: Enhance Power BI report designs for the user experience

• Design reports to show details
• Design reports to highlight values
• Design reports that behave like apps
• Work with bookmarks
• Design reports for navigation
• Work with visual headers
• Design reports with built-in assistance
• Tune report performance
• Optimize reports for mobile use
• Exercise - Enhance Power BI reports

Module 13: Perform analytics in Power BI

• Explore statistical summary
• Identify outliers with Power BI visuals
• Group and bin data for analysis
• Apply clustering techniques
• Conduct time series analysis
• Use the Analyze feature
• Create what-if parameters
• Use specialized visuals
• Exercise - Perform Advanced Analytics with AI Visuals

Module 14: Create and manage workspaces in Power BI

• Distribute a report or dashboard
• Monitor usage and performance
• Recommend a development life cycle strategy
• Troubleshoot data by viewing its lineage
• Configure data protection

Module 15: Manage semantic models in Power BI

• Use a Power BI gateway to connect to on-premises data sources
• Configure a semantic model scheduled refresh
• Configure incremental refresh settings
• Manage and promote semantic models
• Troubleshoot service connectivity
• Boost performance with query caching (Premium)

Module 16: Create dashboards in Power BI

• Configure data alerts
• Explore data by asking questions
• Review Quick insights
• Add a dashboard theme
• Pin a live report page to a dashboard
• Configure a real-time dashboard
• Set mobile view
• Exercise - Create a Power BI dashboard

Module 17: Implement row-level security

• Configure row-level security with the static method
• Configure row-level security with the dynamic method
• Exercise - Enforce row-level security in Power BI