Microsoft Certified: Power BI Data Analyst Associate (PL300)

The PL-300 certification by Microsoft is a definitive milestone for professionals aiming to demonstrate expertise in Power BI Data Analysis. This certification signifies a profound understanding and mastery of Power BI tools and techniques, making it a valuable accreditation in the realm of data analysis. 

Our certified 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.  

This training is a comprehensive preparation for the PL-300: Microsoft Power BI Data Analyst exam to earn the Microsoft Certified: Power BI Data Analyst Associate certification.


Applicable solutions

Public class

Virtual classroom
Planned datePlanned date
August 19 2024
Virtual classroom
Planned datePlanned date
September 23 2024
Virtual classroom
Planned datePlanned date
November 4 2024
Virtual classroom
Planned datePlanned date
December 2 2024
Virtual classroom
Planned datePlanned date
January 6 2025
Virtual classroom
Planned datePlanned date
February 10 2025
3 days / 21 hours

Private class

Virtual classroom
Minimum no. of participants: 5
3 days / 21 hours
Price on request
English or French
Training plan: 

Microsoft Power BI Data Analyst (PL-300T00)

Module 1: Discover data analysis

  • Overview of data analysis
  • Roles in data
  • Tasks of a data analyst

Module 2: Get started building with Power BI

  • Use Power BI
  • Building blocks of Power BI
  • Tour and use the Power BI service

Module 3: Get data in Power BI

  • 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

Module 4: Clean, transform, and load data in Power BI

  • 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

Module 5: Design a semantic model in Power BI

  • Work with tables
  • Create a date table
  • Work with dimensions
  • Define data granularity
  • Work with relationships and cardinality
  • Resolve modeling challenges

Module 6: Add measures to Power BI Desktop models

  • Create simple measures
  • Create compound measures
  • Create quick measures
  • Compare calculated columns with measures

Module 7: Add calculated tables and columns to Power BI Desktop models

  • Create calculated columns
  • Learn about row context
  • Choose a technique to add a column

Module 8: Use DAX time intelligence functions in Power BI Desktop models

  • Use DAX time intelligence functions
  • Additional time intelligence calculations
  • Exercise - Create Advanced DAX Calculations in Power BI Desktop

Module 9: Optimize a model for performance in Power BI

  • 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

Module 10: Design Power BI reports

  • 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

Module 11: Configure Power BI report filters

  • 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

Module 12: Enhance Power BI report designs for the user experience

  • 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

Module 13: Perform analytics in Power BI

  • 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

Module 14: Create and manage workspaces in Power BI

  • Distribute a report or dashboard
  • Monitor usage and performance
  • Recommend a development life cycle strategy
  • Troubleshoot data by viewing its lineage
  • Configure data protection

Module 15: Manage semantic models in Power BI

  • 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)

Module 16: Create dashboards in Power BI

  • 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

Module 17: Implement row-level security

  • Configure row-level security with the static method
  • Configure row-level security with the dynamic method
  • Exercise - Enforce row-level security in Power BI
  • One FREE attendance to the Microsoft 365 Certified: Fundamentals (MS900) training - $695 value!
  • One voucher to take the exam - $225 value!
  • One year access to the class recording
  • 180 days access to the lab environment after class
  • Up to date courseware with Microsoft Learn
  • Microsoft course achievement badge

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


  • 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 information: 

Exam Characteristics 

  • Exam code: PL-300 
  • Exam Title: Microsoft Power BI Data Analyst 
  • Exam Duration: 100 minutes  
  • Number of Questions: 40 to 60 
  • Questions Format: Multiple-choice, multiple-answer, 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  
  • All details...  

Understanding the PL-300 Certification 

The PL-300 certification centers on empowering individuals with the knowledge and skills required to effectively leverage Microsoft Power BI in analyzing data, creating insightful visualizations, and making informed business decisions. It validates competency in handling complex data models, designing solutions, and deriving actionable insights. 

PL-300 Exam Overview 

The PL-300 exam evaluates candidates on various facets of Power BI data analysis. It covers topics such as data preparation, visualization, modeling, integrating data from multiple sources, and deploying solutions. The exam structure assesses practical knowledge and real-world application of Power BI functionalities. 

Preparation Strategies for PL-300 Exam Success 

Preparing for the PL-300 exam necessitates a structured approach. Utilize official Microsoft resources, study guides, and training courses specifically tailored for PL-300. Engage in hands-on practice, explore diverse datasets, and familiarize yourself with advanced Power BI features. Practice exams and mock tests are invaluable in gauging readiness for the exam. 

PL-300: Gateway to Proficiency in Power BI 

The PL-300 certification serves as a gateway for professionals aspiring to excel in Power BI data analysis. It not only validates expertise but also demonstrates an individual's ability to transform raw data into meaningful insights, enabling informed decision-making within organizations. 

Is the PL-300 Certification Worth It? 

Undoubtedly, the PL-300 certification holds immense value in today's data-centric business landscape. It enhances career prospects by showcasing proficiency in Power BI, a sought-after skill in industries relying heavily on data-driven strategies. 


In conclusion, the PL-300 certification signifies an individual's capability to harness the power of Power BI for in-depth data analysis, visualization, and decision-making. It's a testament to one's expertise in Microsoft Power BI and an essential certification for professionals aiming to carve a niche in the realm of data analytics. 

Remember, thorough preparation, hands-on practice, and a comprehensive understanding of Power BI functionalities are pivotal in conquering the PL-300 certification and mastering the art of Power BI data analysis. 

Frequently Asked Questions about PL-300 Certification 

Can you get a job with PL-300? 

Earning the PL-300 certification signifies expertise in Microsoft Power BI data analysis. While holding this certification can significantly enhance your resume and demonstrate proficiency in Power BI, securing a job typically depends on various factors including your overall skills, experience, and the specific requirements of the job role and industry. 

What happens if you fail PL-300 exam?  

If you fail the PL-300 exam, Microsoft's policy allows candidates to retake the exam up to five times within a 12-month period from the first attempt. However, if you reach the maximum of five attempts and still haven't passed, you'll need to wait for 12 months from the date of your initial attempt before being eligible to retake the exam again. This policy encourages candidates to focus on improving their skills and knowledge before attempting the exam again after the waiting period. 

Is PL-300 certification worth it? 

The PL-300 certification holds substantial value for individuals aiming to establish themselves as proficient Power BI data analysts. It demonstrates a deep understanding of Power BI tools and techniques, potentially enhancing career prospects and validating expertise in a highly sought-after skill set in data analysis and business intelligence. 

What is the salary of PL-300? 

Salaries for individuals with PL-300 certification may vary based on several factors, including geographic location, years of experience, industry, and specific job roles. Holding a PL-300 certification can potentially lead to better-paying roles in data analysis, business intelligence, or related fields, but specific salary figures can vary widely. 

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