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Chapter 1: Prepare the data -Get or connect to data-Identify and connect to data sources or a shared semantic model
Chapter 2: Prepare the data -Get or connect to data-Change data source settings, including credentials and privacy levels
Chapter 3: Prepare the data -Get or connect to data-Choose between DirectQuery and Import
Chapter 5: Prepare the data -Profile and clean the data-Evaluate data, including data statistics and column properties
Chapter 6: Prepare the data -Profile and clean the data-Resolve inconsistencies, unexpected or null values, and data quality issues
Chapter 7: Prepare the data -Profile and clean the data-Resolve data import errors
Chapter 8: Prepare the data -Transform and load the data-Select appropriate column data types
Chapter 9: Prepare the data -Transform and load the data-Create and transform columns
Chapter 10: Prepare the data -Transform and load the data-Group and aggregate rows
Chapter 11: Prepare the data -Transform and load the data-Pivot, unpivot, and transpose data
Chapter 12: Prepare the data -Transform and load the data-Convert semi-structured data to a table
Chapter 13: Prepare the data -Transform and load the data-Create fact tables and dimension tables
Chapter 14: Prepare the data -Transform and load the data-Identify when to use reference or duplicate queries and the resulting impact
Chapter 16: Prepare the data -Transform and load the data-Identify and create appropriate keys for relationships
Chapter 17: Prepare the data -Transform and load the data-Configure data loading for queries
Chapter 18: Model the data -Design and implement a data model-Configure table and column properties
Chapter 19: Model the data -Design and implement a data model-Implement role-playing dimensions
Chapter 20: Model the data -Design and implement a data model-Define a relationship's cardinality and cross-filter direction
Chapter 21: Model the data -Design and implement a data model-Create a common date table
Chapter 22: Model the data -Design and implement a data model-Identify use cases for calculated columns and calculated tables
Chapter 23: Model the data -Create model calculations by using DAX-Create single aggregation measures
Chapter 24: Model the data -Create model calculations by using DAX-Use the CALCULATE function
Chapter 25: Model the data -Create model calculations by using DAX-Implement time intelligence measures
Chapter 26: Model the data -Create model calculations by using DAX-Use basic statistical functions
Chapter 27: Model the data -Create model calculations by using DAX-Create semi-additive measures
Chapter 28: Model the data -Create model calculations by using DAX-Create a measure by using quick measures
Chapter 29: Model the data -Create model calculations by using DAX-Create calculated tables or columns
Chapter 30: Model the data -Create model calculations by using DAX-Create calculation groups
Chapter 31: Model the data -Optimize model performance-Improve performance by identifying and removing unnecessary rows and columns
Chapter 32: Model the data -Optimize model performance-Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view
Chapter 33: Model the data -Optimize model performance-Improve performance by reducing granularity
Chapter 34: Visualize and analyze the data -Create reports-Select an appropriate visual
Chapter 35: Visualize and analyze the data -Create reports-Format and configure visuals
Chapter 36: Visualize and analyze the data -Create reports-Apply and customize a theme
Chapter 37: Visualize and analyze the data -Create reports-Apply conditional formatting
Chapter 39: Visualize and analyze the data -Create reports-Configure the report page
Chapter 40: Visualize and analyze the data -Create reports-Choose when to use a paginated report
Chapter 41: Visualize and analyze the data -Create reports-Create visual calculations by using DAX
Chapter 42: Visualize and analyze the data -Enhance reports for usability and storytelling-Configure bookmarks
Chapter 43: Visualize and analyze the data -Enhance reports for usability and storytelling-Create custom tooltips
Chapter 44: Visualize and analyze the data -Enhance reports for usability and storytelling-Edit and configure interactions between visuals
Chapter 45: Visualize and analyze the data -Enhance reports for usability and storytelling-Configure navigation for a report
Chapter 46: Visualize and analyze the data -Enhance reports for usability and storytelling-Apply sorting to visuals
Chapter 47: Visualize and analyze the data -Enhance reports for usability and storytelling-Configure sync slicers
Chapter 48: Visualize and analyze the data -Enhance reports for usability and storytelling-Group and layer visuals by using the Selection pane
Chapter 49: Visualize and analyze the data -Enhance reports for usability and storytelling-Configure drillthrough navigation
Chapter 50: Visualize and analyze the data -Enhance reports for usability and storytelling-Configure export settings
Chapter 52: Visualize and analyze the data -Enhance reports for usability and storytelling-Enable personalized visuals in a report
Chapter 53: Visualize and analyze the data -Enhance reports for usability and storytelling-Design and configure Power BI reports for accessibility
Chapter 54: Visualize and analyze the data -Enhance reports for usability and storytelling-Configure automatic page refresh
Chapter 56: Visualize and analyze the data -Identify patterns and trends-Use grouping, binning, and clustering
Chapter 57: Visualize and analyze the data -Identify patterns and trends-Use AI visuals
Chapter 58: Visualize and analyze the data -Identify patterns and trends-Use reference lines, error bars, and forecasting
Chapter 59: Visualize and analyze the data -Identify patterns and trends-Detect outliers and anomalies
Chapter 60: Manage and secure Power BI -Create and manage workspaces and assets-Create and configure a workspace
Chapter 61: Manage and secure Power BI -Create and manage workspaces and assets-Configure and update a workspace app
Chapter 62: Manage and secure Power BI -Create and manage workspaces and assets-Publish, import, or update items in a workspace
Chapter 63: Manage and secure Power BI -Create and manage workspaces and assets-Create dashboards
Chapter 64: Manage and secure Power BI -Create and manage workspaces and assets-Choose a distribution method
Chapter 65: Manage and secure Power BI -Create and manage workspaces and assets-Configure subscriptions and data alerts
Chapter 66: Manage and secure Power BI -Create and manage workspaces and assets-Promote or certify Power BI content
Chapter 67: Manage and secure Power BI -Create and manage workspaces and assets-Identify when a gateway is required
Chapter 68: Manage and secure Power BI -Create and manage workspaces and assets-Configure a semantic model scheduled refresh
Chapter 69: Manage and secure Power BI -Secure and govern Power BI items-Assign workspace roles
Chapter 71: Manage and secure Power BI -Secure and govern Power BI items-Configure access to semantic models
Chapter 72: Manage and secure Power BI -Secure and govern Power BI items-Implement row-level security roles
Chapter 73: Manage and secure Power BI -Secure and govern Power BI items-Configure row-level security group membership
Chapter 74: Manage and secure Power BI -Secure and govern Power BI items-Apply sensitivity labels

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