Introduction
Exam PL-300 Microsoft Power BI Data Analyst: Introduction
()
Module 1: Prepare the Data
Module introduction
()
Lesson 1: Get Data from Data Sources
Learning objectives
()
Identify and connect to a data source
()
Change data source settings, including credentials, privacy levels, and data source locations
()
Select a shared semantic model, or create a local semantic model
()
Choose between DirectQuery, Import, and Dual mode
()
Change the value in a parameter
()
Lesson 2: Clean the Data
Evaluate data, including data statistics and column properties
()
Resolve inconsistencies, unexpected or null values, and data quality issues
()
Resolve data import errors
()
Lesson 3: Transform and Load the Data
Learning objectives
()
Select appropriate column data types
()
Create and transform columns
()
Transform a query
()
Design a star schema that contains facts and dimensions
()
Identify when to use reference or duplicate queries and the resulting impact
()
Merge and append queries
()
Identify and create appropriate keys for relationships
()
Configure data loading for queries
()
Module 2: Model the Data
Module introduction
()
Lesson 4: Design and Implement a Data Model
Configure table and column properties
()
Implement role-playing dimensions
()
Define a relationship's cardinality and cross-filter direction
()
Create a common date table
()
Implement row-level security roles
()
Learning objectives
()
Lesson 5: Create Model Calculations by Using DAX
Learning objectives
()
Create single aggregation measures
()
Use CALCULATE to manipulate filters
()
Implement time intelligence measures
()
Identify implicit measures and replace with explicit measures
()
Use basic statistical functions
()
Create semi-additive measures
()
Create a measure by using quick measures
()
Create calculated tables
()
Lesson 6: Optimize Model Performance
Learning objectives
()
Improve performance by identifying and removing unnecessary rows and columns
()
Identify poorly performing measures, relationships, and visuals by using Performance Analyzer
()
Improve performance by choosing optimal data types
()
Improve performance by summarizing data
()
Module 3: Visualize and Analyze the Data
Module introduction
()
Lesson 7: Create Reports
Learning objectives
()
Identify and implement appropriate visualizations
()
Format and configure visualizations
()
Use a custom visual
()
Apply and customize a theme
()
Configure conditional formatting
()
Apply slicing and filtering
()
Configure the report page
()
Use the Analyze in Excel feature
()
Choose when to use a paginated report
()
Lesson 8: Enhance Reports for Usability and Storytelling
Learning objectives
()
Configure bookmarks
()
Create custom tooltips
()
Edit and configure interactions between visuals
()
Configure navigation for a report
()
Apply sorting
()
Configure sync slicers
()
Group and layer visuals by using the Selection pane
()
Drill down into data using interactive visuals
()
Configure export of report content and perform an export
()
Design reports for mobile devices
()
Enable personalized visuals in a report
()
Design and configure Power BI reports for accessibility
()
Lesson 9: Identify Patterns and Trends
Learning objectives
()
Use the Analyze feature in Power BI
()
Use grouping, binning, and clustering
()
Incorporate the Q&A feature in a report
()
Use AI visuals
()
Use reference lines, error bars, and forecasting
()
Detect outliers and anomalies
()
Create and share scorecards and metrics
()
Module 4: Deploy and Maintain Assets
Module introduction
()
Lesson 10: Create and Manage Workspaces and Items
Learning objectives
()
Create and configure a workspace
()
Assign workspace roles
()
Configure and update a workspace app
()
Publish, import, or update items in a workspace
()
Create dashboards
()
Choose a distribution method
()
Apply sensitivity labels to workspace content
()
Configure subscriptions and data alerts
()
Promote or certify Power BI content
()
Manage global options for files
()
Lesson 11: Manage Semantic Models
Learning objectives
()
Identify when a gateway is required
()
Configure a semantic model scheduled refresh
()
Configure row-level security group membership
()
Provide access to semantic models
()
Summary
Exam PL-300 Microsoft Power BI Data Analyst: Summary
()