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Power BI Masterclass : For Data Engineers Basics to Advanced | Udemy [Update 05/2026]
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Genre: eLearning[/center]

What you'll learn:
[list]
[*]Understand Power BI architecture and how it works in modern data engineering workflows
[*]Build ETL pipelines using Power Query for data cleaning and transformation
[*]Design professional star schema data models with fact and dimension tables
[*]Learn DAX fundamentals including measures, filter context, and CALCULATE
[*]Optimize Power BI performance using query tuning and VertiPaq concepts
[*]Work with Power BI Service, gateways, datasets, and scheduled refresh workflows
[*]Build and deploy complete end-to-end Power BI solutions using real-world projects
[/list]

Power BI is one of the most powerful tools in modern data engineering and business intelligence, but most courses only focus on dashboards and visualizations. This course takes a completely different approach.

In this comprehensive Power BI for Data Engineers Full Course , you will learn how Power BI actually works behind the scenes as a complete data system. Instead of only building charts, you will understand how data is ingested, transformed, modeled, optimized, and delivered in production environments.

This course is designed specifically for data engineers, BI engineers, analytics engineers, SQL developers, and professionals who want to move beyond basic reporting and gain a deep understanding of Power BI architecture and engineering workflows.

Throughout the course, you will build a complete end-to-end Power BI pipeline using structured datasets and real-world engineering concepts. Every topic is explained step-by-step with practical demonstrations and implementation-focused learning.

What You Will Learn

• Understand the role of Power BI in a modern data stack

• Learn Power BI architecture including Desktop, Service, and Gateway

• Explore Import Mode, DirectQuery, and Live Connections with real engineering trade-offs

• Build ETL pipelines using Power Query and transformation workflows

• Understand query folding and efficient data pipeline design

• Design proper star schema models with fact and dimension tables

• Learn relationships, cardinality, and filter propagation concepts

• Build semantic models for scalable reporting systems

• Master DAX fundamentals including measures, CALCULATE, and filter context

• Create advanced calculations and time intelligence solutions

• Learn Power BI performance optimization techniques

• Understand VertiPaq engine behavior, compression, and cardinality optimization

• Analyze and tune query performance using Performance Analyzer

• Learn how Power BI visuals interact with the data model internally

• Work with Power BI Service including datasets, reports, dashboards, and refresh workflows

• Configure gateways and scheduled refresh processes

• Learn deployment workflows and production best practices

• Understand real-world architecture decisions and limitations of Power BI

Complete End-to-End Project Included

This course includes a practical project where you will:

• Generate raw datasets

• Build ETL pipelines in Power Query

• Design scalable data models

• Create DAX measures and calculations

• Build reporting workflows

• Optimize performance

• Deploy the solution to Power BI Service

Who This Course Is For

• Data Engineers

• BI Engineers

• Analytics Engineers

• SQL Developers

• Power BI Developers

• Professionals preparing for BI Engineering roles

• Anyone who wants to understand Power BI beyond dashboards and reporting

By the end of this course, you will have a complete understanding of how Power BI works as a modern data engineering platform and be able to design, optimize, and deploy real-world Power BI solutions confidently.

Who this course is for:
Data Engineers who want to learn Power BI beyond dashboards
BI Engineers and Analytics Engineers working with reporting systems
SQL Developers moving into Business Intelligence and analytics workflows
Power BI Developers who want to improve modeling and performance optimization skills
Students preparing for Power BI or BI Engineering job roles
Anyone interested in learning real-world Power BI architecture and deployment workflows

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