Power BI Data Analyst PL-300

Course Certification

This course helps you prepare to take the:
PL-300 Microsoft Power BI Data Analyst Exam;

Course Outline

• Identify and connect to a data source
• Change data source settings, including credentials, privacy levels, and data source locations
• Select a shared dataset, or create a local dataset
• Choose between DirectQuery, Import, and Dual mode
• Change the value in a parameter

• 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

• Evaluate data, including data statistics and column properties
• Resolve inconsistencies, unexpected or null values, and data quality issues
• Resolve data import errors

• 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

• 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

• 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

• 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

• 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

• 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

• Create and configure a workspace
• Assign workspace roles
• Configure and update a workspace app
• Publish, import, or update assets 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

• Identify when a gateway is required
• Configure a dataset scheduled refresh
• Configure row-level security group membership
• Provide access to datasets

Course Mode

Instructor-Led Remote Live Classroom Training;

Trainers

Trainers are authorized Instructors in Microsoft and certified in other IT technologies, with years of hands-on experience in the industry and in Training.

Lab Topology

For all types of delivery, the participant can access the equipment and actual systems in our laboratories or directly in international data centers remotely, 24/7. Each participant has access to implement various configurations, Thus immediately applying the theory learned. Below are some scenarios drawn from laboratory activities.