Microsoft Power BI Data Analyst Training (PL 300)

PL-300 (Microsoft Power BI Data Analyst) is a practical, hands-on course designed to help you turn raw data into clear, interactive dashboards and meaningful business insights. The course covers the full Power BI workflow including data extraction, cleaning, modeling, visualization, and sharing reports.

You will learn how to connect multiple data sources, build efficient data models, write DAX formulas, and create professional dashboards that support business decision-making. The training also includes real-world scenarios and labs to ensure you gain job-ready skills.

By the end of the course, you will be able to confidently analyze data and deliver impactful reports using Microsoft Power BI.

This course provides hands-on experience in using Power BI to transform raw data into meaningful insights. Participants will learn how to connect to data sources, clean and model data, create visualizations, and publish reports.

The course also covers best practices for data analysis, performance optimization, and collaboration.

Module 1: Introduction to Power BI and Data Analytics

Topics Covered:

• Overview of Power BI ecosystem
• Data analytics concepts
• Power BI Desktop and Service

Lab:

• Install and explore Power BI Desktop
• Connect to sample datasets
• Navigate Power BI interface

Outcome:
Understand Power BI fundamentals.

Module 2: Get Data in Power BI

Topics Covered:

• Connecting to data sources
• Import vs DirectQuery
• Data connectivity options

Lab:

• Connect to Excel, SQL, and cloud data
• Import and refresh data
• Configure data sources

Outcome:
Access and import data effectively.

Module 3: Clean, Transform, and Load Data

Topics Covered:

• Power Query Editor
• Data cleaning techniques
• Data transformation

Lab:

• Clean and transform datasets
• Handle missing and duplicate data
• Shape data for analysis

Outcome:
Prepare high-quality data for reporting.

Module 4: Design Data Models

Topics Covered:

• Relationships and schema design
• Star schema
• DAX basics

Lab:

• Create relationships between tables
• Build calculated columns and measures
• Optimize data model

Outcome:
Create efficient data models.

Module 5: Create Visualizations and Reports

Topics Covered:

• Charts, tables, and visuals
• Report design principles
• Interactive dashboards

Lab:

• Create dashboards and reports
• Apply filters and slicers
• Customize visuals

Outcome:
Build interactive and insightful reports.

Module 6: Advanced Data Analysis with DAX

Topics Covered:

• DAX functions and formulas
• Time intelligence
• Advanced calculations

Lab:

• Create advanced DAX measures
• Perform time-based analysis
• Optimize calculations

Outcome:
Perform advanced data analysis.

Module 7: Publish and Share Reports

Topics Covered:

• Power BI Service
• Publishing reports
• Sharing and collaboration

Lab:

• Publish reports to Power BI Service
• Share dashboards with users
• Configure permissions

Outcome:
Distribute insights across the organization.

Module 8: Data Security and Governance

Topics Covered:

• Row-Level Security (RLS)
• Data protection
• Governance best practices

Lab:

• Implement RLS
• Secure datasets
• Manage access control

Outcome:
Ensure secure data access.

Module 9: Optimize Performance and Monitoring

Topics Covered:

• Performance tuning
• Dataset optimization
• Monitoring usage

Lab:

• Optimize report performance
• Analyze usage metrics
• Improve dashboard efficiency

Outcome:
Enhance performance and usability.