Master the art of creating dynamic, meaningful reports and data visualizations with this extensive course on Microsoft Power BI. You will develop core competencies in retrieving data from multiple sources, preparing and transforming data for analysis, and ensuring your reports deliver actionable insights. Learn how to construct semantic models, incorporate measures and calculated columns, and build professionally designed reports that address your organization's analytical needs.
Whether you are new to Power BI or building on existing experience, this course provides comprehensive training in advanced filtering, workspace administration, and performance optimization strategies. Upon completion, you will confidently develop and oversee dynamic reports that inform better business decisions and drive operational efficiency across your organization.
Audience Profile:
This course is designed for data analysts, business intelligence professionals, and IT specialists seeking to strengthen their capabilities in reporting with Microsoft Power BI. It is also suitable for managers and team leaders who need to generate meaningful insights and make informed, data-driven decisions.
Prerequisites:
You should be familiar with basic data concepts and terminology. Some experience with Power BI is beneficial, though not required.
Course Outline:
Module 1: Get data in Power BI
- Get data from files and relational data sources
- Create dynamic reports with parameters
- 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
- Exercise: Prepare data in Power BI Desktop
Module 2: 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
- Exercise: Load data in Power BI Desktop
Module 3: 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
- Exercise: Model data in Power BI Desktop
Module 4: Add measures to Power BI Desktop models
- Create simple measures
- Create compound measures
- Create quick measures
- Compare calculated columns with measures
- Exercise: Create DAX Calculations in Power BI Desktop
Module 5: 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 6: Design Power BI reports
- Design the analytical report layout
- Design visually appealing reports
- Report objects and visualization selection
- 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 7: Configure Power BI report filters
- Apply filters to the report structure
- Apply filters with slicers
- Design reports with advanced filtering techniques
- Consumption-time filtering and filter technique selection
- Case study: Configure report filters based on feedback
Module 8: 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 9: 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)
