Design and manage analytics solutions using Power BI (PL-300T00)
Training plan
Module 1: Get started with Microsoft data analytics
- Discover data analysis
- Get started building with Power BI
- Introduction to end-to-end analytics using Microsoft Fabric
- Get started with Copilot in Power BI
Module 2: Prepare data for analysis with Power BI
- Get data in Power BI
- Clean, transform, and load data in Power BI
- Choose a Power BI model framework
Module 3: Model data with Power BI
- Configure a semantic model
- Write DAX formulas for semantic models
- Create DAX calculations in semantic models
- Use DAX time intelligence functions in semantic models
- Create visual calculations in Power BI Desktop
- Optimize a model for performance in Power BI
Module 4: Design effective reports in Power BI
- Scope report design requirements
- Design Power BI reports
- Enhance Power BI report designs for the user experience
- Perform analytics in Power BI
Module 5: Manage and secure Power BI
- Manage workspaces in Power BI service
- Manage semantic models in Power BI
- Choose a content distribution method
- Create dashboards in Power BI
- Secure data access 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
Eccentrix Corner Articles: Power BI Data Analyst Associate PL-300 Resources
Explore our technical articles on Power BI Data Analyst Associate PL-300 published on Eccentrix Corner. These resources dive deeper into key concepts, share best practices, and provide practical guides to maximize your learning and certification success. Our experts share real-world insights to help you master data analysis with Power BI.
Power BI Data Analyst Training
The Power BI Data Analyst 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
Data Preparation and Transformation
Learn how to connect to various data sources, clean and organize data, and prepare it for analysis.Data Modeling
Understand how to create and optimize data models, define relationships, and implement calculated fields.Data Visualization
Design interactive dashboards and reports with Power BI Desktop and Power BI Service to present insights effectively.DAX (Data Analysis Expressions)
Master the fundamentals of DAX to create custom calculations and enhance report functionality.Data Integration
Explore how to publish and share Power BI reports across your organization for collaborative decision-making.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.
PL-300 Exam Success Strategies
Mastering the PL-300 certification requires more than technical knowledge – strategic preparation, effective time management, and optimal mental performance are equally crucial for success.
PL-300 Exam Statistics & Success Rates
- Average Pass Rate: 65-70% on first attempt (Microsoft Associate level average)
- Most Common Score Range: 720-780 for passing candidates
- Average Study Time: 6-8 weeks for experienced IT professionals
- Retake Rate: 25-30% of candidates require a second attempt
- Top Failure Areas: DAX calculations and data modeling (36%), data transformation and Power Query (32%), report design and visualization best practices (28%)
Study Method Comparison
| Study Approach | Duration | Pass rate | Best For |
|---|---|---|---|
|
Hands-on Practice Only |
4-5 weeks |
45-55% |
Experienced Power BI users |
|
Documentation + Practice |
6-7 weeks |
70-75% |
Methodical learners |
|
Training + Labs + Practice |
6-8 weeks |
85-90% |
Comprehensive preparation |
|
Practice Tests Only |
2-3 weeks |
35-45% |
Not recommended |
Strategic Study Approach
- Create a 6-8 week study timeline – Don’t cram for this associate-level certification
- Follow the 70-20-10 rule – 70% hands-on practice with Power BI Desktop and Service, 20% reading documentation, 10% practice tests
- Focus on scenario-based learning – PL-300 emphasizes real-world business intelligence solutions over memorization
- Study in 90-minute focused blocks with 15-minute breaks to maximize retention
Common Exam Pitfalls to Avoid
- Don’t confuse DAX functions and their contexts – understand row context vs. filter context and when to use CALCULATE, FILTER, and other functions
- Data modeling relationships and cardinality – know when to use one-to-many, many-to-many, and one-to-one relationships
- Power Query vs. DAX transformations – distinguish between data preparation in Power Query and calculations in DAX
- Visualization types and their appropriate use cases – understand when to use different chart types and custom visuals
- Row-level security vs. object-level security – know how to implement different security models in Power BI
- DirectQuery vs. Import vs. Composite models – understand the performance and functionality trade-offs of each storage mode
Topic Weight Distribution
| Exam Domain | Weight | Focus Areas | Priority |
|---|---|---|---|
|
Prepare the Data |
25-30% |
Data sources, Power Query, data profiling |
Critical |
|
Model the Data |
25-30% |
Relationships, DAX, data model optimization |
Critical |
|
Visualize and Analyze the Data |
25-30% |
Reports, dashboards, advanced analytics |
Critical |
|
Deploy and Maintain Assets |
15-20% |
Workspaces, sharing, security, performance |
High |
Exam Day Time Management
- Allocate 90 seconds per question on average – this gives buffer time for complex scenarios
- Read case studies completely first before attempting related questions
- Flag uncertain questions and return to them – don’t get stuck on difficult items
- Reserve 15 minutes at the end for reviewing flagged questions and checking answers
Managing Exam Stress & Performance
- Get 7-8 hours of quality sleep the night before – avoid last-minute cramming
- Arrive 30 minutes early to settle in and complete check-in procedures calmly
- Use deep breathing techniques if you feel overwhelmed during the exam
- Trust your preparation – your first instinct is usually correct on scenario questions
Technical Preparation Tips
- Practice with Power BI Desktop and Power BI Service – know both environments and their capabilities
- Master DAX fundamentals and advanced functions – understand calculated columns, measures, and table functions
- Understand data modeling best practices – know how to create efficient and scalable data models
- Review Power Query M language basics – understand data transformation and preparation techniques
Final Week Preparation
- Take 2-3 practice exams to identify knowledge gaps and build confidence
- Review Microsoft’s official exam objectives one final time
- Avoid learning new concepts – focus on reinforcing what you already know
- Prepare your exam day logistics – route to test center, required identification, arrival time
Mental Preparation Strategies
- Visualize success scenarios – imagine yourself confidently answering questions
- Remind yourself of your hands-on experience – you’ve likely built many Power BI solutions before
- Stay positive during difficult questions – every candidate faces challenging scenarios
- Remember that 700/1000 passes – you don’t need perfection, just solid competency
How to Schedule Your PL-300 Exam
- Official Testing Provider: Pearson VUE is Microsoft’s authorized testing partner for PL-300
- Scheduling Process: Create a Pearson VUE account, search for “PL-300”, select your preferred test center and date
- Exam Cost: Included with your Eccentrix training – exam voucher provided for this associate-level certification
- Scheduling Timeline: Book at least 2-3 weeks in advance for better time slot availability
- Rescheduling Policy: Free rescheduling up to 24 hours before your exam appointment
- Required ID: Government-issued photo ID (passport, driver’s license) matching your registration name exactly
Success Mindset: Approach PL-300 as a validation of your existing Power BI data analyst skills rather than a test of memorized facts. Your practical experience with data modeling, DAX calculations, and business intelligence solutions is your greatest asset.
Frequently asked questions about the Microsoft Power BI PL-300 training (FAQ)
What does the PL-300 training cover?
The course covers data preparation, modeling, visualization, and integration with Power BI.
Is prior experience with Power BI required?
Basic knowledge of data analysis is helpful, but the course is structured to support learners of all levels.
Does this training prepare for the PL-300 exam?
Yes, the course is aligned with the objectives of the Microsoft PL-300 certification exam.
Are hands-on exercises included in the training?
Yes, participants engage in practical exercises and real-world projects to apply their knowledge.
What tools and technologies are covered in this training?
Power BI Desktop, Power BI Service, and DAX for data modeling and analysis.
How does this certification benefit my career?
Certification validates your skills as a Power BI data analyst, enhancing your career prospects in business intelligence and data analysis.
Is the PL-300 training available remotely, and are there any discount or financing options?
Yes, the PL-300 course is delivered as a live, interactive virtual class via Microsoft Teams. Discounts are available for public, education, and health sectors, and flexible solutions are offered to optimize your training investment.
What types of practical labs or real-world projects are included in the PL-300 course?
The course features technical labs and real-world projects using Power BI Desktop and Power BI Service. Participants create interactive dashboards, perform data analysis, and publish reports for real business scenarios.
