Design and manage analytics solutions using Power BI, from data preparation and modeling to reporting, analytics, deployment, and security.
$ 1.280,00
Questions about this course? let our team answer them!
Course Outline
1. Explore the analytics process that turns data into insights
• Types of data analytics
• Roles in data analytics
• Core analytics tasks
2. Get started building with Power BI
• Use Power BI
• Building blocks of Power BI
• Tour and use the Power BI service
3. Introduction to end-to-end analytics using Microsoft Fabric
• Explore end-to-end analytics with Microsoft Fabric
• Explore data teams and Microsoft Fabric
• Enable and use Microsoft Fabric
4. Get started with Copilot in Power BI
• Use Copilot in Power BI to prepare and model data
• Create reports with Copilot in Power BI
• Get your data ready for AI usage in Power BI
5. 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 – Get data in Power BI
6. 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
7. Choose a Power BI model framework
• Describe Power BI model fundamentals
• Determine when to develop an import model
• Determine when to develop a DirectQuery model
• Determine when to develop a composite model
• Choose a model framework
8. Configure a semantic model
• Configure relationships
• Configure tables
• Configure columns
• Configure hierarchies
• Configure measures
• Configure parameters
• Exercise – Configure a semantic model in Power BI Desktop
9. Write DAX formulas for semantic models
• Understand DAX calculation types
• Write DAX formulas
• DAX data types
• Work with DAX functions
• Use DAX operators
• Use DAX variables
10. Create DAX calculations in semantic models
• Create calculated tables
• Create calculated columns
• Understand implicit measures
• Create explicit measures
• Use iterator functions
• Exercise – Create DAX calculations
11. Modify DAX filter context in semantic models
• Understand filter context
• Modify filter context
• Use filter modifier functions
• Examine filter context
• Perform context transition
• Exercise – Modify DAX filter context
12. Use DAX time intelligence functions in semantic models
• Use DAX time intelligence functions
• Additional time intelligence calculations
• Exercise – Use time intelligence functions
13. Create visual calculations in Power BI Desktop
• Understand visual calculations
• Create visual calculations
• Use parameters in visual calculations
• Exercise – Create visual calculations in Power BI Desktop
14. Scope report design requirements
• Identify the audience
• Determine report types
• Define user interface requirements
• Define user experience requirements
• Explore designs in a Power BI report
15. Design Power BI reports
• Design the analytical report layout
• Design visually appealing reports
• Use report objects
• Select report visuals
• Apply filters and slicers to reports
• Understand filtering techniques and considerations
• Case study – Configure report filters based on feedback
• Exercise – Design Power BI reports
16. 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
17. Perform analytics in Power BI
• Introduction to analytics
• 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 analytics in Power BI
18. Manage workspaces in Power BI service
• Understand Power BI service
• Understand workspaces
• Publish to Power BI service
19. 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
• Boost performance with query caching (Fabric or Premium capacity)
• Use lineage and impact analysis
20. Choose a content distribution method
• Understand sharing models
• Create a Power BI app
• Create and manage org apps
• Apply data governance principles
• Track report or dashboard usage
21. Create dashboards in Power BI
• Introduction to dashboards
• Configure data alerts
• Explore data with Copilot for Power BI
• Review Quick insights
• Add a dashboard theme
• Pin a live report page to a dashboard
• Set mobile view
• Exercise – Create dashboards in Power BI
22. Secure data access in Power BI
• Configure row-level security with the static method
• Configure row-level security with the dynamic method
• Use single sign-on (SSO) for DirectQuery sources
• Restrict access to Power BI model objects
• Exercise – Enforce row-level security in Power BI
Course Details
• Familiarity with the Power BI Desktop application.
• Basic understanding of data analysis concepts and terminology, such as tables, relationships, and calculations.
Data professionals and business intelligence professionals who want to perform accurate data analysis using Power BI, including people who develop reports using cloud and on-premises data-platform technologies.
For online (live) format
$ 1.280,00
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