This Power BI training course will discuss the various methods and best practices in line with business and technical requirements for modelling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from various data sources, including relational and non-relational data.

Utbildningsmål

In this course you will explore implementing proper security standards and policies across the Power BI spectrum, including datasets and groups. The course will also discuss managing and deploying reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

• Learn how to ingest, clean, transform, and model data
• Model data for performance and scalability
• Design and create paginated reports to analyze data with Power BI
• Apply and perform advanced report analytics
• Manage and share report assets
• Create paginated reports in Power BI
• Follow a curriculum based on Microsoft Official Courseware
• Continue learning and face new challenges with after-course one-on-one instructor coaching

Förkunskaper

The audience for this course is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualise data from the data platform technologies that exist both in the cloud and on-premises. Successful Data Analysts start this role with experience working with data in the cloud. Specifically:

• 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 visualisation concepts

Innehåll

Module 1: Get Started with Microsoft Data Analytics

• Data Analytics and Microsoft
• Explore the different roles in data
• Identify the tasks that are performed by a data analyst
• Describe the Power BI landscape of products and services
• Getting Started with Power BI

Module 2: Prepare Data in Power BI

• Get data from various data sources
• Optimize performance
• Resolve data errors 
• Identify and retrieve data from different data sources
• Understand the connection methods and their performance implications

Module 3: Clean, Transform, and Load Data in Power BI

• Apply data shape transformations
• Enhance the structure of the data
• Profile and examine the data

Module 4: Design a Data Model in Power BI

• Understand the basics of data modelling
• Working with tables
• Implement Dimensions and Hierarchies

Module 5: Create Measures using DAX in Power BI

• Understand DAX and DAX context
• Use DAX for simple formulas and expressions

Module 6: Optimize Model Performance

• Understand the importance of variables
• Optimize the model for performance
• Optimize DirectQuery Models
• Optimize the storage model
• Create and manage Aggregations

Module 7: Create Reports

• Design a report page layout
• Enhance the report with effective visualizations
• Add basic report functionality
• Add report navigation and interactions
• Improve report performance
• Design for accessibility 

Module 8: Create Dashboards

• Create a Dashboard
• Understand real-time Dashboards
• Enhance Dashboard usability

Module 9: Create Paginated Reports in Power BI

• Explain paginated reports
• Create Paginated reports

Module 10: Perform Advanced Analytics

• Explore statistical summary with Advanced Analytics
• Use the Analyze feature to gain Data Insights through AI visuals

Module 11: Manage Datasets in Power BI

• Create and work with parameters
• Manage datasets
• Configure dataset refresh
• Troubleshoot gateway connectivity
• Understand the aspects of Power BI security
• Configure row-level security roles and group memberships

Module 12: Create and Manage Workspaces in Power BI

• Creating Workspaces
• Sharing and Managing Assets
• Create and manage a workspace

Kursen levereras genom utbildningspartner: Global Knowledge