Analyzing statistics and creating reports that help in decision-making is one of the most important things in the business world, and Microsoft Power BI is one of the most important tools for analysis and decision support, as it gives decision makers a comprehensive view of important and critical data in the organization, through a set of integrated services that Analyze, share, and transform data into interactive dashboards and reports. This training program is designed to provide participants with the knowledge and skills needed to design and build scalable data models, filter, transform and process data, learn how to create dashboards, create and optimize reports, and configure and manage workspaces.
At the end of the training program, the participant should be able to:
1 Identify and connect to a data source
2 Change data source settings
3 Select a shared dataset or create a local dataset
4 Select a storage mode
5 Choose an appropriate query type
6 Identify query performance issues
7 Use parameters
1 Identify data anomalies
2 Examine data structures
3 Interrogate column properties
4 Interrogate data statistics
1 Resolve inconsistencies, unexpected or null values, and data quality issues
2 Apply user-friendly value replacements
3 Identify and create appropriate keys for joins
4 Evaluate and transform column data types
5 Apply data shape transformations to table structures
6 Combine queries
7 Apply user-friendly naming conventions to columns and queries
8 Leverage Advanced Editor to modify Power Query M code
9 Configure data loading
10 Resolve data import errors
1 Define the tables
2 Configure table and column properties
3 Define quick measures
4 Flatten out a parent-child hierarchy
5 Define role-playing dimensions
6 Define a relationship's cardinality and cross-filter direction
7 Design the data model to meet performance requirements
8 Resolve many-to-many relationships
9 Create a common date table
10 Define the appropriate level of data granularity
1 Apply cross-filter direction and security filtering
2 Create calculated tables
3 Create hierarchies
4 Create calculated columns
5 Implement row-level security roles
6 Set up the Q
1 Use DAX to build complex measures
2 Use CALCULATE to manipulate filters
3 Implement Time Intelligence using DAX
4 Replace numeric columns with measures
5 Use basic statistical functions to enhance data
6 Create semi-additive measures
1 Remove unnecessary rows and columns
2 Identify poorly performing measures, relationships, and
3 Improve cardinality levels by changing data types
4 Improve cardinality levels through summarization
5 Create and manage aggregations
1 Add visualization items to reports
2 Choose an appropriate visualization type
3 Format and configure visualizations
4 Import a custom visual
5 Configure conditional formatting
6 Apply slicing and filtering
7 Add an R or Python visual
8 Configure the report page
9 Design and configure for accessibility
10 Configure automatic page refresh
1 Set mobile view
2 Manage tiles on a dashboard
3 Configure data alerts
4 Use the Q
5 Add a dashboard theme
6 Pin a live report page to a dashboard
7 Configure data classification
1 Configure bookmarks
2 Create custom tooltips
3 Edit and configure interactions between visuals
4 Configure navigation for a report
5 Apply sorting
6 Configure Sync Slicers
7 Use the selection pane
8 Use drill through and cross filter
9 Drilldown into data using interactive visuals
10 Export report data
11 Design reports for mobile devices
1 Apply conditional formatting
2 Apply slicers and filters
3 Perform top N analysis
4 Explore statistical summary
5 Use the Q
6 Add a Quick Insights result to a report
7 Create reference lines by using Analytics pane
8 Use the Play Axis feature of a visualization
1 Identify outliers
2 Conduct Time Series analysis
3 Use groupings and bindings
4 Use the Key Influencers to explore dimensional variances
5 Use the decomposition tree visual to break down a measure
6 Apply AI Insights
1 Manage datasets
2 Configure a dataset scheduled refresh
3 Configure row-level security group membership
4 Providing access to datasets
5 Configure incremental refresh settings
6 Promote or certify a dataset
1 Create and configure a workspace
2 Recommend a development lifecycle strategy
3 Assign workspace roles
4 Configure and update a workspace app
5 Publish, import, or update assets in a workspace
6 Apply sensitivity labels to workspace content
Not Available
Names of the training programs that are integrated (enriched) with the training program:
Names of the training programs that after the training program:
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