Alliance Micro Solutions provides certified and advanced degree computer instructors and consultants

Module 1 : Get data in Power BI

• Identify and connect to a data source
• Get data from a relational database, like Microsoft SQL Server
• Get data from a file, like Microsoft Excel
• Get data from applications
• Get data from Azure Analysis Services
• Select a storage mode
• Fix performance issues
• Resolve data import errors

Module 2 : Clean, transform, and load data in Power BI

• Resolve inconsistencies, unexpected or null values, and data quality issues.
• Apply user-friendly value replacements.
• Profile data so you can learn more about a specific column before using it.
• Evaluate and transform column data types.
• Apply data shape transformations to table structures.
• Combine queries.
• Apply user-friendly naming conventions to columns and queries.
• Edit M code in the Advanced Editor.

Module 3 : Design a semantic model in Power BI

• Create common date tables
• Configure many-to-many relationships
• Resolve circular relationships
• Design star schemas

Module 4 : Add measures to Power BI Desktop models

• Determine when to use implicit and explicit measures.
• Create simple measures.
• Create compound measures.
• Create quick measures.
• Describe similarities of, and differences between, a calculated column and a measure.

Module 5 : Add calculated tables and columns to Power BI Desktop models

• Create calculated tables.
• Create calculated columns.
• Identify row context.
• Determine when to use a calculated column in place of a Power Query custom column.
• Add a date table to your model by using DAX calculations.

Module 6 : Design Power BI reports

• Learn about the structure of a Power BI report.
• Learn about report objects.
• Select the appropriate visual type to use.

Module 7 : Configure Power BI report filters

• Design reports for filtering.
• Design reports with slicers.
• Design reports by using advanced filtering techniques.
• Apply consumption-time filtering.
• Select appropriate report filtering techniques.

Module 8 : Create and manage workspaces in Power BI

• Create and manage Power BI workspaces and items.
• Distribute a report or dashboard.
• Monitor usage and performance.
• Recommend a development lifecycle 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 scheduled refresh for a semantic model.
• Configure incremental refresh settings.
• Manage and promote semantic models.
• Troubleshoot service connectivity.
• Boost performance with query caching (Premium).

Module 1 : Get data in Power BI

• Identify and connect to a data source
• Get data from a relational database, like Microsoft SQL Server
• Get data from a file, like Microsoft Excel
• Get data from applications
• Get data from Azure Analysis Services
• Select a storage mode
• Fix performance issues
• Resolve data import errors

Module 2 : Clean, transform, and load data in Power BI

• Resolve inconsistencies, unexpected or null values, and data quality issues.
• Apply user-friendly value replacements.
• Profile data so you can learn more about a specific column before using it.
• Evaluate and transform column data types.
• Apply data shape transformations to table structures.
• Combine queries.
• Apply user-friendly naming conventions to columns and queries.
• Edit M code in the Advanced Editor.

Module 3 : Design a semantic model in Power BI

• Create common date tables
• Configure many-to-many relationships
• Resolve circular relationships
• Design star schemas

Module 4 : Add measures to Power BI Desktop models

• Determine when to use implicit and explicit measures.
• Create simple measures.
• Create compound measures.
• Create quick measures.
• Describe similarities of, and differences between, a calculated column and a measure.

Module 5 : Add calculated tables and columns to Power BI Desktop models

• Create calculated tables.
• Create calculated columns.
• Identify row context.
• Determine when to use a calculated column in place of a Power Query custom column.
• Add a date table to your model by using DAX calculations.

Module 6 : Design Power BI reports

• Learn about the structure of a Power BI report.
• Learn about report objects.
• Select the appropriate visual type to use.

Module 7 : Configure Power BI report filters

• Design reports for filtering.
• Design reports with slicers.
• Design reports by using advanced filtering techniques.
• Apply consumption-time filtering.
• Select appropriate report filtering techniques.

Module 8 : Create and manage workspaces in Power BI

• Create and manage Power BI workspaces and items.
• Distribute a report or dashboard.
• Monitor usage and performance.
• Recommend a development lifecycle 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 scheduled refresh for a semantic model.
• Configure incremental refresh settings.
• Manage and promote semantic models.
• Troubleshoot service connectivity.
• Boost performance with query caching (Premium).