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Microsoft Certified: Power BI Data Analyst Associate (PL300)

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The Microsoft PL-300 certification represents a crucial step for professionals seeking to demonstrate their expertise in data analysis with Power BI. This certification attests to a deep understanding and mastery of Power BI tools and techniques, making it a valuable accreditation in the field of data analysis.

This certification training covers various methods and best practices that align 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 relational and non-relational sources. Finally, this course will also cover the management and deployment of reports and dashboards for sharing and distributing content.

This three-day Microsoft course provides preparation for the PL-300: Microsoft Power BI Data Analyst exam to earn the Microsoft Certified: Power BI Data Analyst Associate certification.

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Public class

Planned date
February 3, 2025
2095
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February 24, 2025
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March 10, 2025
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Private class

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Microsoft Power BI Data Analyst (PL-300T00)

Training plan

  • Overview of data analysis
  • Roles in data
  • Tasks of a data analyst
  • Use Power BI
  • Building blocks of Power BI
  • Tour and use the Power BI service
  • Get data from files
  • Get data from relational data sources
  • Get data from a NoSQL database
  • Get data from online services
  • Select a storage mode
  • Get data from Azure Analysis Services
  • Fix performance issues
  • Resolve data import errors
  • Shape the initial data
  • Simplify the data structure
  • Evaluate and change column data types
  • Combine multiple tables into a single table
  • Profile data in Power BI
  • Use Advanced Editor to modify M code
  • Work with tables
  • Create a date table
  • Work with dimensions
  • Define data granularity
  • Work with relationships and cardinality
  • Resolve modeling challenges
  • Create simple measures
  • Create compound measures
  • Create quick measures
  • Compare calculated columns with measures
  • Create calculated columns
  • Learn about row context
  • Choose a technique to add a column
  • Use DAX time intelligence functions
  • Additional time intelligence calculations
  • Exercise – Create Advanced DAX Calculations in Power BI Desktop
  • Introduction to performance optimization
  • Review performance of measures, relationships, and visuals
  • Use variables to improve performance and troubleshooting
  • Reduce cardinality
  • Optimize DirectQuery models with table level storage
  • Create and manage aggregations
  • Design the analytical report layout
  • Design visually appealing reports
  • Report objects
  • Select report visuals
  • Select report visuals to suit the report layout
  • Format and configure visualizations
  • Work with key performance indicators
  • Exercise – Design a report in Power BI desktop
  • Apply filters to the report structure
  • Apply filters with slicers
  • Design reports with advanced filtering techniques
  • Consumption-time filtering
  • Select report filter techniques
  • Case study – Configure report filters based on feedback
  • Design reports to show details
  • Design reports to highlight values
  • Design reports that behave like apps
  • Work with bookmarks
  • Design reports for navigation
  • Work with visual headers
  • Design reports with built-in assistance
  • Tune report performance
  • Optimize reports for mobile use
  • Exercise – Enhance Power BI reports
  • Explore statistical summary
  • Identify outliers with Power BI visuals
  • Group and bin data for analysis
  • Apply clustering techniques
  • Conduct time series analysis
  • Use the Analyze feature
  • Create what-if parameters
  • Use specialized visuals
  • Exercise – Perform Advanced Analytics with AI Visuals
  • Distribute a report or dashboard
  • Monitor usage and performance
  • Recommend a development life cycle strategy
  • Troubleshoot data by viewing its lineage
  • Configure data protection
  • Use a Power BI gateway to connect to on-premises data sources
  • Configure a semantic model scheduled refresh
  • Configure incremental refresh settings
  • Manage and promote semantic models
  • Troubleshoot service connectivity
  • Boost performance with query caching (Premium)
  • Configure data alerts
  • Explore data by asking questions
  • Review Quick insights
  • Add a dashboard theme
  • Pin a live report page to a dashboard
  • Configure a real-time dashboard
  • Set mobile view
  • Exercise – Create a Power BI dashboard
  • Configure row-level security with the static method
  • Configure row-level security with the dynamic method
  • Exercise – Enforce row-level security in Power BI

Recommended Prerequisite Knowledge

Successful Data Analysts start this role with experience of working with data in the cloud.

Specifically:

  • Understanding core data concepts
  • Knowledge of working with relational data in the cloud
  • Knowledge of working with non-relational data in the cloud
  • Knowledge of data analysis and visualization concepts

Credentials and certification

Exam features

  • Code: PL-300
  • Title: Microsoft Power BI Data Analyst 
  • Duration: 100 minutes
  • Number of Questions: 40 to 60
  • Question Format: Multiple choice, multiple response, scenario-based
  • Passing Score: 700 out of 1000
  • Cost: $0 (included in your training)

Exam topics

  • Prepare the data 
  • Model the data  
  • Visualize and analyze the data  
  • Deploy and maintain assets

Check all exam details on Microsoft Learn >>

Eccentrix Corner article/publication

Microsoft Certified: Power BI Data Analyst Associate (PL-300)

The Microsoft Certified: Power BI Data Analyst Associate (PL-300) training equips participants with the skills to design, build, and manage data-driven solutions using Microsoft Power BI. This course emphasizes transforming raw data into meaningful insights, creating interactive visualizations, and delivering impactful reports for effective decision-making.

Designed for data analysts, business intelligence professionals, and anyone responsible for analyzing and interpreting data, this training prepares participants to pass the PL-300 certification exam and apply their skills in real-world scenarios to support organizational success.

Why Choose the Power BI Data Analyst Associate Training?

Power BI is a leading business intelligence tool that helps organizations make data-driven decisions. This course provides the knowledge and tools necessary to connect to data sources, clean and model data, and create visual reports that convey key insights.

Certification as a Power BI Data Analyst validates your ability to transform business data into actionable insights, opening new career opportunities in the data analysis and business intelligence fields.

Key Skills Developed in the Training

  1. Data Preparation and Transformation
    Learn how to connect to various data sources, clean and organize data, and prepare it for analysis.

  2. Data Modeling
    Understand how to create and optimize data models, define relationships, and implement calculated fields.

  3. Data Visualization
    Design interactive dashboards and reports with Power BI Desktop and Power BI Service to present insights effectively.

  4. DAX (Data Analysis Expressions)
    Master the fundamentals of DAX to create custom calculations and enhance report functionality.

  5. Data Integration
    Explore how to publish and share Power BI reports across your organization for collaborative decision-making.

  6. Performance Optimization
    Learn best practices to enhance the efficiency and performance of your Power BI solutions.

Comprehensive, Instructor-Led Training

This course is delivered by certified Microsoft instructors who bring industry expertise to the classroom. Through hands-on exercises and real-world projects, participants will gain practical experience in using Power BI to create impactful solutions and prepare for the PL-300 certification exam.

Who Should Attend?

This training is ideal for:

  • Data analysts seeking to validate and enhance their skills with a certification
  • Business intelligence professionals aiming to deepen their expertise in Power BI
  • Professionals responsible for generating reports and analyzing data
  • Individuals preparing for the Microsoft Certified: Power BI Data Analyst Associate (PL-300) certification exam

Transform Your Career with Power BI Expertise

The Microsoft Certified: Power BI Data Analyst Associate (PL-300) training provides the skills to turn raw data into actionable insights, driving informed decisions. Enroll today to earn a globally recognized certification and advance your career in data analysis and business intelligence.

Frequently asked questions about the Microsoft Power BI PL-300 training (FAQ)

The course covers data preparation, modeling, visualization, and integration with Power BI.

Basic knowledge of data analysis is helpful, but the course is structured to support learners of all levels.

Yes, the course is aligned with the objectives of the Microsoft PL-300 certification exam.

Yes, participants engage in practical exercises and real-world projects to apply their knowledge.

Power BI Desktop, Power BI Service, and DAX for data modeling and analysis.

Certification validates your skills as a Power BI data analyst, enhancing your career prospects in business intelligence and data analysis.

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