PL-300T00: Microsoft Power BI Data Analyst

Prepare to pass the PL-300: Microsoft Power BI Data Analyst Certification Exam

Course Description

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Audience Profile
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

About this Course

Course Outline

Skills at a glance

Prepare the data (25–30%)
Model the data (25–30%)
Visualize and analyze the data (25–30%)
Deploy and maintain items (15–20%)

Prepare the data (25–30%)

Get data from data sources

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 data model
Choose between DirectQuery, Import, and Dual mode
Change the value in a parameter

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
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

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
Implement row-level security roles

Create model calculations by using DAX

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

Optimize model performance

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

Visualize and analyze the data (25–30%)

Create reports

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

Enhance reports for usability and storytelling

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

Identify patterns and trends

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

Deploy and maintain items (15–20%)

Create and manage workspaces and items

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

Manage semantic models

Identify when a gateway is required
Configure a semantic model scheduled refresh
Configure row-level security group membership
Provide access to semantic models
Configure automatic page refresh