Microsoft Power BI

About Course

Learn Microsoft Power BI from the fundamentals to advanced data analytics and business intelligence concepts. This course covers Power BI Desktop, data importing, Power Query, data cleaning and transformation, data modeling, relationships, DAX, calculated columns and measures, and interactive report and dashboard creation. You’ll learn how to transform raw business data into meaningful insights and visually compelling reports.

Duration: 35-40 Hours

Category: Coding/Development

Skill Level: Beginner – Intermediate

Modules: 24

Subjects & Expertise

With expertise in Microsoft Power BI and business intelligence, the training focuses on data preparation, modeling, visualization, DAX, dashboard development, and analytical reporting. Learners will understand how Power BI can be used to transform complex datasets into meaningful business insights and interactive decision-making tools.

The course combines instructor-led sessions with hands-on labs, real-world datasets, practical assignments, and dashboard projects. Students gain practical experience in connecting data sources, cleaning and transforming data using Power Query, creating relationships and data models, writing DAX calculations, and developing professional Power BI reports.

Modules

1.Power BI Architecture

Power BI Ecosystem
Power BI Service
Desktop
Gateway
Licensing

2. Data Modeling Fundamentals

Star Schema
Snowflake Schema
Fact Tables
Dimension Tables
Relationships

3. Power Query

Data Extraction
Data Transformation
M Language Basics
Query Folding

4. Advanced Power Query

Parameters
Functions
Data Cleansing
Performance Optimization

5. DAX Fundamentals

Calculated Columns
Measures
Context
Filter Context
Row Context

6. Advanced DAX

CALCULATE
Variables
Time Intelligence
Ranking Functions
Optimization

7. Data Modeling Best Practices

Relationship Design
Bridge Tables
Many-to-Many Relationships

8. Enterprise Reporting

KPI Dashboards
Executive Reports
Drill Through
Bookmarks

9. Advanced Visualizations

Custom Visuals
Tooltips
Field Parameters
Dynamic Reports

10. Performance Tuning

Performance Analyzer
DAX Optimization
Model Optimization

11. Incremental Refresh

Partitioning Concepts
Incremental Refresh Setup
Large Dataset Handling

12. Power BI Service

Workspaces
Apps
Deployment Pipelines
Subscriptions

13. Security

Row Level Security
Object Level Security
Workspace Security

14. Power BI Administration

Governance
Tenant Settings
Usage Metrics
Monitoring

15. Dataflows

Dataflows Gen1
Dataflows Gen2
Reusable Data Preparation

16. Fabric Fundamentals

Microsoft Fabric Overview
Lakehouse
Warehouse
Semantic Models

17. SQL for Power BI

Views
Stored Procedures
CTEs
Window Functions

18. Python and Power BI

Python Visuals
Data Processing
Advanced Analytics

19. Real-Time Analytics

Streaming Datasets
Real-Time Dashboards
Alerts

20. CI/CD and DevOps

Git Integration
Deployment Pipelines
Version Control

21. Industry Use Cases

Finance Dashboards
Sales Analytics
Supply Chain Analytics
HR Analytics

22. Capstone Project

Enterprise Data Model
Executive Dashboard
Performance Optimization
Security Implementation

23. Interview Preparation

Scenario Based Questions
DAX Challenges
Architecture Discussions

24. Best Practices

Documentation
Dashboard Standards
Production Support
Troubleshooting