Microsoft Power BI Data Analyst PL-300 Certification
PL-300 certification represents the gold standard for professionals seeking to validate their expertise in Microsoft Power BI and business intelligence. This comprehensive program delivers the essential knowledge and practical skills needed to transform raw data into compelling business insights and pass the prestigious Microsoft certification exam. According to the Microsoft Work Trend Index, data analytics skills are among the top three most demanded capabilities in today’s job market, making this PL-300 certification more valuable than ever.
This intensive PL-300 certification training goes beyond basic dashboard creation to provide enterprise-level data modeling, DAX formula mastery, and advanced visualization techniques. Through real-world business scenarios and hands-on labs, you’ll learn to design scalable analytics solutions that drive strategic decision-making across organizations.
Why Choose Our PL-300 Certification Training?
Our PL-300 certification program stands out through its emphasis on practical, business-relevant skills and comprehensive career support. Unlike other programs, this training provides live project experience with actual business datasets, ensuring you develop the exact skills employers seek in certified Power BI professionals.
Key Benefits & Learning Outcomes:
You will learn to:
Master data preparation and transformation using Power Query
Design and implement scalable data models for enterprise analytics
Create interactive reports and advanced data visualizations
Implement DAX formulas for complex calculations and business metrics
Apply data security and governance best practices
You will be able to:
Pass the PL-300 exam on your first attempt with confidence
Increase your earning potential by an average of 22% according to industry surveys
Design enterprise-level analytics solutions for business stakeholders
Advance your career as a Microsoft Certified Data Analyst
Bridge the gap between raw data and strategic business insights
Who is this PL-300 certification for?
Business Intelligence Professionals seeking formal certification
Data Analysts and Reporting Specialists
Business Analysts transitioning to data roles
IT Professionals expanding their analytics capabilities
Anyone involved in data visualization and business reporting
The Growing Importance of PL-300 Certification
The demand for professionals with PL-300 certification continues to surge as organizations increasingly rely on data-driven decision making. Research from Burning Glass Technologies shows that positions requiring Power BI skills have grown 89% over the past three years, making this certificate essential for career advancement in analytics.
What Makes Our PL-300 Certification Different?
Our approach to PL-300 certification emphasizes real-business application through:
Hands-on labs with actual business datasets from multiple industries
Expert instruction from Microsoft Certified Trainers
Comprehensive coverage of all PL-300 exam objectives
Practical focus on business-relevant analytics scenarios
Post-certification support and community access
Career Impact of PL-300 Certification
Completing our PL-300 certification opens doors to numerous high-growth career opportunities with significant salary potential. According to Global Knowledge’s IT Skills Report, Microsoft certifications rank among the top five most valuable IT credentials, with certified professionals reporting faster career progression and higher job satisfaction.
Post-Certification Support
After achieving your PL-300 certification, you’ll gain access to:
Exclusive job board for certified Power BI professionals
Monthly analytics community events and webinars
Continuous learning resources and platform updates
Practice dataset library for skill enhancement
Career coaching and interview preparation
Requirements for PL-300 Certification
To successfully complete this PL-300 certification and prepare for the examination, you will need:
Technical Requirements:
Computer capable of running Power BI Desktop
Stable internet connection for virtual learning sessions
Modern web browser for accessing learning materials
Course-Specific Requirements:
Willingness to engage with hands-on data modeling exercises
Commitment to complete all practical assignments and labs
Basic understanding of data concepts and business reporting
Dedication to developing business intelligence expertise
Prerequisites for PL-300 Certification
This training is designed to be accessible to professionals at various experience levels.
Mandatory Prerequisites:
Basic understanding of data concepts and terminology
Familiarity with Microsoft Excel or similar spreadsheet applications
Computer literacy and file management skills
Recommended Knowledge/Skills:
Experience with basic data analysis concepts is beneficial
Understanding of business reporting requirements
Interest in data visualization and business intelligence
Analytical mindset and problem-solving orientation
Course Completion Certificate
Curriculum
- 11 Sections
- 168 Lessons
- 8 Hours
- Introduction1
- Seting up Power BI Desktop3
- Power BI Lifecycle3
- Get or Connect to Data29
- 4.1Connecting to a CSV File
- 4.2Power Query Interface
- 4.3Renaming Fields and Data Types
- 4.4Column Data Quality
- 4.5Column Profile and Distribution
- 4.6Dropping and Preserving Rows and Columns
- 4.7Split Columns
- 4.8Format Tool
- 4.9Merge Columns
- 4.10Transform vs. Add Column
- 4.11Extract Tool
- 4.12Conditional Columns
- 4.13Duplicating Columns and Adding Indexes
- 4.14Date Tool
- 4.15Numerical Tools
- 4.16Statistics and Count Rows
- 4.17Append Queries
- 4.18Group
- 4.19Pro Tip – Connect to a Folder!
- 4.20Change the Data Source Settings
- 4.21Loading a JSON File
- 4.22Creating Calculated/Custom Columns
- 4.23Quick Note on Custom Columns
- 4.24Enable / Disable Load
- 4.25Understanding Duplicate vs. Reference Queries
- 4.26Resolve data import errors
- 4.27Pro Tip – Wheel Icon in Applied Steps!
- 4.28Configure Data Loading Settings
- 4.29Bringing it all together!
- Data Modelling28
- 5.1Normalization
- 5.2Primary Keys
- 5.3Foreign Keys
- 5.4Fact and Dimension Tables
- 5.5Star Schema
- 5.6Snowflake Schema
- 5.7What’s a Join?
- 5.8Merge Queries
- 5.9Cardinality
- 5.10Configuring our Data Model – Part 1
- 5.11Configuring our Data Model – Part 2
- 5.12Create our own Fact and Dimension Tables from a De-normalized dataset
- 5.13Understanding Data Source Privacy Levels
- 5.14Practical: Setting Privacy Levels
- 5.15Connecting to a Database
- 5.16Change Data Source Settings: Credentials
- 5.17Creating Parameters
- 5.18Choose between DirectQuery and Import Modes – Part 1
- 5.19Choose between DirectQuery and Import Modes – Part 2
- 5.20Composite Models and Dual Storage Mode
- 5.21Practical – DirectQuery, Import and Dual Storage Modes
- 5.22Configure table properties
- 5.23Configure column properties
- 5.24Understanding the Filter Direction – Theory
- 5.25Understanding the Filter Direction – Practical
- 5.26Auto-Date Time & Common Date Tables – Theory
- 5.27Common Date Tables – Practical
- 5.28Implement Role Playing Dimensions
- Visualization and Formatting33
- 6.1Looking at our new semantic model
- 6.2Canvas Settings
- 6.3Cards for KPIs
- 6.4Pro Tip – Use the format painter
- 6.5Clustered Column/Bar Chart – Part 1
- 6.6Clustered Column/Bar Chart – Part 2
- 6.7Stacked Bar Chart + Ribbon Charts
- 6.8Line Charts – Part 1
- 6.9Line Charts – Part 2
- 6.10Line & Clustered Bar Chart
- 6.11Line & Stacked Bar Chart (Combo Chart)
- 6.12Area Chart & Stacked Area Chart
- 6.13Stacked Area Chart – Variation
- 6.14Pie Chart
- 6.15Donut Chart
- 6.16Treemap
- 6.17Gauge
- 6.18Scatter, Bubble and Dot Plot Chart
- 6.19Tables
- 6.20Matrix
- 6.21Apply conditional formatting
- 6.22Conditional Formatting – Imp. Note
- 6.23Format – Properties Tab
- 6.24Filters
- 6.25Glimpse of Power BI Service for Header Icons and Filters
- 6.26Slicers
- 6.27New Slicers – List, Button and Text
- 6.28Sync Slicers
- 6.29Apply and customize a theme
- 6.30Apply sorting to visuals
- 6.31Create custom tooltips
- 6.32Paginated Reports
- 6.33Summary of the different visuals
- DAX31
- 7.1What is DAX?
- 7.2Taking a look at DAX resources
- 7.3Calculated Columns using DAX
- 7.4Text functions – Part 1
- 7.5Text functions – Part 2
- 7.6Logical Functions – Part 1
- 7.7Logical Functions – Part 2
- 7.8RELATED() Function
- 7.9Understanding Implicit Measures
- 7.10Implicit Measures – Practical
- 7.11Explicit Measures – Theory
- 7.12Explicit Measures – Practical
- 7.13Create single aggregation measures – Part 1
- 7.14Create single aggregation measures – Part 2
- 7.15Use basic statistical functions
- 7.16Understanding Iterator Functions
- 7.17Use the CALCULATE() function
- 7.18KEEPFILTERS()
- 7.19REMOVEFILTERS() and ALL()
- 7.20ALLSELECTED()
- 7.21USERELATIONSHIP()
- 7.22Create calculated tables using DAX – Part 1
- 7.23Create calculated tables using DAX – Part 2
- 7.24Introduction to Time Intelligence in Power BI
- 7.25Implement Time Intelligence measures – Part 1
- 7.26Implement Time Intelligence measures – Part 2
- 7.27Implement Time Intelligence measures – Part 3
- 7.28Create Semi-additive measures
- 7.29Create Calculation groups
- 7.30Create a measure by using quick measures
- 7.31Create visual calculations by using DAX
- Visualize and Analyse the Data11
- 8.1Drill Down
- 8.2Edit and configure interactions between visuals
- 8.3Configure bookmarks
- 8.4Group and layer visuals by using the Selection pane
- 8.5Configure navigation for a report
- 8.6Configure drill through navigation
- 8.7Configure export settings
- 8.8Design reports for mobile devices
- 8.9Enable personalized visuals in a report
- 8.10Design and configure Power BI reports for accessibility
- 8.11Configure automatic page refresh
- Optimization4
- Identify Pattern and Trends5
- Manage and Secure Power BI20
- 11.1Power BI Licensing
- 11.2Power BI Service interface walkthrough
- 11.3Create and configure a workspace
- 11.4Practical – Deploy a new workspace
- 11.5Assign workspace roles
- 11.6Configure item-level access
- 11.7Looking at semantic model configurations
- 11.8Connect to Sharepoint and trigger a refresh
- 11.9Identify when a gateway is required
- 11.10Download the On-Prem Data Gateway
- 11.11Configure a semantic model scheduled refresh
- 11.12Using Shared / Published semantic models
- 11.13Publish, import, or update items in a workspace
- 11.14Create dashboards
- 11.15Configure and update a workspace app
- 11.16Promote or certify Power BI content
- 11.17Apply sensitivity labels
- 11.18Implement row-level security roles (Static RLS)
- 11.19Implement row-level security roles (Dynamic RLS)
- 11.20Configure subscriptions and data alerts
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