Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Intermediate Level
Validate expertise in transforming data into actionable insights using Microsoft Power BI for impactful business decisions.
The Microsoft Certified: Power BI Data Analyst Associate certification equips professionals with advanced skills to prepare, model, visualize, and analyze data using Power BI. It validates the ability to design scalable data models, create compelling reports, and collaborate with stakeholders to drive data-driven decisions.
Ideal for analysts seeking to enhance their expertise in Power BI tools like Power Query and DAX, this certification emphasizes security, performance optimization, and real-world business value delivery.
Empower team members to discover insights hidden in your data with Microsoft Power BI certifications. A 3-days instructor-led training covering data preparation, modeling, visualization, and Power BI deployment.
The PL-300: Design and Manage Analytics Solutions using Power BI course teaches best practices for modeling, visualizing, and analyzing data with Power BI.
You’ll learn to access and process data from various sources (relational and non-relational), apply security standards, and manage reports and dashboards for sharing. The hands-on training also covers building and publishing paginated reports in the Power BI service.
Recommended Prerequisite: Successful Data Analysts start this role with experience of working with data in the cloud. You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Category
Intermediate
Exam Duration
100 minutes
Product
Power BI
Subject
Data Analytics
Role
Data Analyst
Cost
$83 USD
Language Offered
English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, Indonesian (Indonesia)
What are the key skills measured:
- Prepare Data (25–30%): Connect to data sources, clean/transform data using Power Query, and resolve inconsistencies.
- Model Data (25–30%): Build relationships, optimize models with DAX, and implement row-level security.
- Visualize & Analyze Data (25–30%): Design interactive reports, apply advanced analytics (e.g., AI insights), and enable self-service dashboards.
- Deploy & Maintain Assets (15–20%): Manage datasets, configure data refresh, and secure Power BI workspaces.
Who is this for?
- Data Analysts transforming raw data into actionable insights.
- BI Developers/Consultants designing enterprise-level Power BI solutions.
- IT Professionals managing Power BI deployments.
- Students/Career Changers seeking entry into data analytics roles. Prerequisites: Foundational Power BI knowledge; experience with data repositories and DAX recommended.
As organizations depend on data to guide business decisions, they need analysts who can transform complex information into accurate, accessible and actionable insights.
The World Economic Forum projects a 30% to 35% increase in demand for advanced technology data roles by 2030, representing approximately 1.4 million additional roles. The group specifically includes Data Analysts and Scientists, Business Intelligence Analysts, Big Data Specialists, Data Engineers, and Database and Network Professionals.
World Economic Forum, Future of Jobs Report 2025
EY research found that 66% of surveyed organisations plan to increase investment in advanced data analytics over the next three years, with 32% planning increases of more than 20%.
EY, Data and AI Report, 2025
Microsoft-commissioned IDC research involving more than 800 business and IT leaders worldwide found that 44% identify data analysis as an important human and business skill for experienced professionals and managers.
Microsoft / IDC, Thriving in an AI-Driven Future
Validate Data Analysis Skills
Demonstrate your ability to take business requirements and translate them into meaningful analytical outputs. Microsoft expects Power BI Data Analysts to work with stakeholders, identify requirements and deliver actionable insights using available data.
Master Power BI Data Modeling
Build practical skills using Power Query and DAX to clean, transform and model data. Data preparation and data modelling each represent 25% to 30% of the current PL-300 exam.
Globally Recognized Credential
Earn a certification from Microsoft, a trusted name in technology, boosting your credibility and employability in the competitive SEA job market.
Turn Data into Business Insights
Learn to create reports, select appropriate visualizations, perform calculations and analysis, identify trends and communicate findings in ways business stakeholders can understand.
Microsoft specifically expects certified analysts to provide meaningful business value through clear data visualizations.
Why choose Trainocate?
Train with Trainocate, a Microsoft training partner with 30+ years of technology training expertise, extensive Microsoft learning capabilities, 30+ authorized technology partnerships and a global training footprint spanning 24 countries.
As a Microsoft Solutions Partner and 2024 Microsoft Partner of the Year Training Services Award Finalist, Trainocate helps individuals and organizations develop practical, job-ready skills through Microsoft’s globally recognized certifications, Applied Skills, and role-based learning pathways.
Get Power BI Certified in 2026
Complete the form below to register your interest.
Frequently Asked Questions (FAQs)
1. What is the Microsoft Certified: Power BI Data Analyst Associate certification?
This certification validates your skills in preparing, modelling, visualizing, analysing, and managing data using Microsoft Power BI, aligning with business and technical requirements.
2. How long is the certification valid, and how can I renew it?
The certification is valid for 12 months. You can renew it by passing an online assessment on Microsoft Learn, ensuring your skills remain up to date with the latest features and best practices.
3. Who should pursue Microsoft Power BI Data Analyst Associate?
PL-300 is designed for data professionals and business intelligence professionals who use data to generate insights and support business decisions.
Microsoft positions the certification specifically for Data Analysts who work with business stakeholders and collaborate with analytics engineers and data engineers.
It is particularly relevant to professionals already working with reports, dashboards, business data or BI who want formal validation of their Power BI capabilities.
4. What job roles is PL-300 relevant to?
PL-300 is directly aligned with the Data Analyst role, but its skills are relevant across several analytics-focused positions. Common career pathways include:
- Data Analyst
- Power BI Analyst
- Business Intelligence Analyst
- BI Developer
- Reporting Analyst
- Business Analyst with analytics responsibilities
Microsoft officially classifies the certification under Data Analyst and Data Analytics.
5. Is PL-300 useful for Business Analysts?
Yes, particularly for Business Analysts who regularly work with data, reporting and decision support.
Business Analysts increasingly need to move beyond gathering requirements and interpreting reports to exploring data and communicating insights themselves.
PL-300 develops practical skills across Power Query, DAX, semantic models, visualization and analysis that can complement broader business analysis capabilities.
6. Is Microsoft Certified: Power BI Data Analyst Associate relevant to an AI career?
es, particularly for professionals working on the analytics and business-insight side of Data & AI.
AI does not remove the need for analytical thinking. WEF identifies analytical thinking as the most sought-after core skill among employers, while AI and big data are among the fastest-growing technology skills.
PL-300 builds the human and technical ability to interrogate data, identify patterns, build analytical models and communicate findings, providing a useful foundation before moving into more advanced analytics, Fabric or AI disciplines.
