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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
December 2, 2024
2095
English
Planned date
January 6, 2025
2095
English
Planned date
February 10, 2025
2095
English
Guaranteed to run
March 17, 2025
2095
English
Planned date
April 21, 2025
2095
English
Planned date
June 2, 2025
2095
English

Private class

Inquire for this training to be delivered exclusively for the members of your organization.

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 >>

Understanding the PL-300 Certification

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. 

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. 

Conclusion

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

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. 

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. 

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. 

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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