Unlock the potential of dynamic reporting and data visualization with this comprehensive course on Microsoft Power BI. Designed to equip you with essential skills, you will learn how to retrieve, clean, and transform data from various sources, ensuring your reports are both insightful and impactful. Master the art of creating semantic models, adding measures and calculated columns, and designing visually appealing reports that meet your business needs.
Whether you are a beginner or have some experience with Power BI, this course offers in-depth knowledge on filtering techniques, managing workspaces, and optimizing performance. By the end of this course, you'll be able to confidently create and manage dynamic reports that drive better decision-making and efficiency in your organization.
Audience Profile
This course is ideal for data analysts, business intelligence professionals, and IT specialists looking to enhance their skills in dynamic reporting with Microsoft Power BI. It is also suitable for managers and team leaders responsible for generating insights and making data-driven decisions.
Prerequisites
You should be familiar with basic data concepts and terminology. Some exposure to Power BI is helpful, but not required.
Couse Outline
Module 1: Get data in Power BI
Get data from files
- Get data from 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
- Check your knowledge
- 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
- 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 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
- Select report filter techniques
- 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)
