Microsoft Certified: Power BI Data Analyst Associate training
Participants will sit for the Microsoft PL-300 examination
As a candidate for this certification, you should deliver actionable insights by working with available data and applying domain expertise. You should:
Provide meaningful business value through easy-to-comprehend data visualizations.
Enable others to perform self-service analytics.
Deploy and configure solutions for consumption.
As a Power BI data analyst, you work closely with business stakeholders to identify business requirements. You collaborate with enterprise data analysts and data engineers to identify and acquire data. You use Power BI to:
Transform the data.
Create data models.
Visualize data.
Share assets.
You should be proficient at using Power Query and writing expressions by using Data Analysis Expressions (DAX). You know how to assess data quality. Plus, you understand data security, including row-level security and data sensitivity.
You may be eligible for ACE college credit if you pass this certification.
3 DAYS | 21 HOURS TRAINING PROGRAMME
ONLINE OR FACE-TO-FACE TRAINING
SKILLS MEASURED
Prepare the data
Model the data
Visualize and analyze the data
Deploy and maintain assets
WHO SHOULD ATTEND
Anyone interested to use the Microsoft Power BI to analyse data in a meaningful way.
PREREQUISITES
None
EXAM POLICY
This exam will be proctored, and is not open book. You may have interactive components to complete as part of this exam. To learn more about exam duration and experience, visit: Exam duration and exam experience.
If you fail a certification exam, don’t worry. You can retake it 24 hours after the first attempt. For subsequent retakes, the amount of time varies. For full details, visit: Exam retake policy.
DOMAIN WEIGHTING
Prepare the data (25–30%)
Model the data (25–30%)
Visualize and analyze the data (25–30%)
Deploy and maintain items (15–20%)
COURSE OUTLINE
(THIS IS A 3 DAYS TRAINING PROGrAMME)
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
FOR PRICING AND BOOKING THIS COURSE, PLEASE E-MAIL US AT janice@marcnzed.com
OR CALL +6012 451 4977 (MALAYSIA) OR +65 9052 3859 (SINGAPORE)
accreditation/recognition
This course will be directly accredited by Linux Foundation