PL-300
Microsoft Power BI Data Analyst
Certification Overview
Microsoft's Power BI certification covering data modeling, DAX, and visualization best practices. The 100-minute exam has 60 questions (multiple-choice, case studies, drag-drop) requiring 700/1000 to pass. Renewable via free Microsoft Learn assessment.
The Microsoft Power BI Data Analyst (PL-300) is a globally recognized benchmark designed for professionals aiming to prove their expertise in data. In today's competitive landscape, this certification acts as a critical signal to employers regarding your technical proficiency and commitment to the field.
Primary Impact
- Higher salary ceiling in Data roles
- Validated expertise at the enterprise level
Market Signal
Ranked as a Top Data Credential for 2026, holding the PL-300 significantly reduces the time-to-hire for senior positions.
Market Outlook
We monitor job market volume in real-time to provide the most accurate demand forecasting for your career.
Market Sentiment
There are currently 130 open roles in the US requiring this specific certification.
Tracking period: 12 Weeks
Job data provided by Adzuna
Is PL-300 right for you?
Don't make a blind decision. Compare PL-300 against similar certifications to find the best ROI for your specific career path.
PL-300 vs Tableau
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Maintenance & Recognition
Renewal Requirements
Industry Recognition
Proctoring Options
Path to Excellence
Everything you need to successfully navigate the PL-300 certification journey.
01Entry Requirements
Data Analysis Skills
Knowledge of data modeling, DAX, and Power BI Desktop.
02The Process
Power BI Modeling
Learn to transform and load data, and build complex relationships.
DAX Mastery
Master complex measures and filters to uncover deep data insights.
Pass PL-300 Exam
Pass the Microsoft Power BI Data Analyst Associate exam.
PL-300 Complete Study Guide
Strategic study plan, exam breakdown, and career acceleration tactics — everything you need to pass.
PL-300 Certification: Frequently Asked Questions
What is the PL-300 certification?+
Microsoft's Power BI certification covering data modeling, DAX, and visualization best practices. The 100-minute exam has 60 questions (multiple-choice, case studies, drag-drop) requiring 700/1000 to pass. Renewable via free Microsoft Learn assessment.
What are the requirements for PL-300 certification in 2026?+
To earn the PL-300 certification, candidates typically need: Knowledge of data modeling, DAX, and Power BI Desktop. Candidates must also pass the official certification exam and adhere to a professional code of ethics.
How much does the PL-300 certification exam cost in 2026?+
The PL-300 certification exam costs $165. This includes the official proctored examination fee. Renewal costs approximately Free.
What is the PL-300 certification salary in 2026?+
Professionals holding the PL-300 certification typically earn a starting salary of $95,000 or more per year. Salaries vary based on experience, location, and specific job role, with senior positions commanding significantly higher compensation.
How many jobs require PL-300 certification?+
As of 2026, there are 130 active job postings requiring or preferring PL-300 certification. The job market for this certification is currently stable.
What is the PL-300 exam pass rate?+
The PL-300 certification exam has an estimated pass rate of N/A. Most successful candidates study for 40-60 hours before attempting the exam.
How long does it take to prepare for PL-300 certification?+
Most candidates need 40-60 hours of study time to prepare for the PL-300 certification exam. The exam itself is 100-120 mins long.
What is the PL-300 exam format?+
The PL-300 exam is 100-120 mins exam with 40-60 questions. A passing score of 700/1000 is required. Remote proctoring is available.
How do I renew my PL-300 certification?+
The PL-300 certification must be renewed every 1 year. You need to earn Online Assessment to maintain your certification. Renewal costs approximately Free.
Ready to Get Certified?
Start your PL-300 certification journey today and open doors to new opportunities in data.