100% OFF PL-300: Microsoft Power BI Data Analyst - May 2025 Coupon Code
100% OFF PL-300: Microsoft Power BI Data Analyst - May 2025 Coupon Code
  • Promoted by: Anonymous
  • Platform: Udemy
  • Category: IT Certifications
  • Language: English
  • Instructor: Vahid Ghafarpour
  • Duration:
  • Student(s): 1,484
  • Rate 4.9 Of 5 From 5 Votes
  • Expires on: 2025/05/17
  • Price: 44.99 0

Prepare for Success with1300+ other students - 410+ Updated PL-300 Practice Tests with Explanations

Unlock your potential with a Free coupon code for the "PL-300: Microsoft Power BI Data Analyst - May 2025" course by Vahid Ghafarpour on Udemy. This course, boasting a 4.9-star rating from 5 reviews and with 1,484 enrolled students, provides comprehensive training in IT Certifications.
Spanning approximately , this course is delivered in English and we updated the information on May 13, 2025.

To get your free access, find the coupon code at the end of this article. Happy learning!

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