What You'll Learn

  • You use Power BI to Prepare the data
  • You use Power BI to Model the data
  • You use Power BI to Visualize and analyze data
  • You use Power BI to Manage and secure Power BI

Requirements

  • You should be proficient at using Power Query and Data Analysis Expressions (DAX).

Description

Skills at a glance

  • Prepare the data (25–30%)

  • Model the data (25–30%)

  • Visualize and analyze the data (25–30%)

  • Manage and secure Power BI (15–20%)

Prepare the data (25–30%)

Get or connect to data

  • Identify and connect to data sources or a shared semantic model

  • Change data source settings, including credentials and privacy levels

  • Choose between DirectQuery and Import

  • Create and modify parameters

Profile and 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

Transform and load the data

  • Select appropriate column data types

  • Create and transform columns

  • Group and aggregate rows

  • Pivot, unpivot, and transpose data

  • Convert semi-structured data to a table

  • Create fact tables and dimension tables

  • 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

Model the data (25–30%)

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

  • Identify use cases for calculated columns and calculated tables

Create model calculations by using DAX

  • Create single aggregation measures

  • Use the CALCULATE function

  • Implement time intelligence measures

  • Use basic statistical functions

  • Create semi-additive measures

  • Create a measure by using quick measures

  • Create calculated tables or columns

  • Create calculation groups

Optimize model performance

  • Improve performance by identifying and removing unnecessary rows and columns

  • Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view

  • Improve performance by reducing granularity

Visualize and analyze the data (25–30%)

Create reports

  • Select an appropriate visual

  • Format and configure visuals

  • Apply and customize a theme

  • Apply conditional formatting

  • Apply slicing and filtering

  • Configure the report page

  • Choose when to use a paginated report

  • Create visual calculations by using DAX

Enhance reports for usability and storytelling

  • Configure bookmarks

  • Create custom tooltips

  • Edit and configure interactions between visuals

  • Configure navigation for a report

  • Apply sorting to visuals

  • Configure sync slicers

  • Group and layer visuals by using the Selection pane

  • Configure drill through navigation

  • Configure export settings

  • Design reports for mobile devices

  • Enable personalized visuals in a report

  • Design and configure Power BI reports for accessibility

  • Configure automatic page refresh

Identify patterns and trends

  • Use the Analyze feature in Power BI

  • Use grouping, binning, and clustering

  • Use AI visuals

  • Use reference lines, error bars, and forecasting

  • Detect outliers and anomalies

Manage and secure Power BI (15–20%)

Create and manage workspaces and assets

  • Create and configure a workspace

  • Configure and update a workspace app

  • Publish, import, or update items in a workspace

  • Create dashboards

  • Choose a distribution method

  • Configure subscriptions and data alerts

  • Promote or certify Power BI content

  • Identify when a gateway is required

  • Configure a semantic model scheduled refresh

Secure and govern Power BI items

  • Assign workspace roles

  • Configure item-level access

  • Configure access to semantic models

  • Implement row-level security roles

  • Configure row-level security group membership

  • Apply sensitivity labels


Who this course is for:

  • Provide meaningful business value through easy-to-comprehend data visualizations.
PL-300: Microsoft Power BI Data Analyst - May 2025

Course Includes:

  • Price: FREE
  • Enrolled: 608 students
  • Language: English
  • Certificate: Yes
  • Difficulty: Beginner
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