Power BI Professional
1. Power BI Overview
- What is Power BI and why is it powerful?
- End-to-end overview of Power BI ecosystem
- Understand Desktop, Service & Mobile roles
- Explore real-world Power BI project examples
2. Power BI Desktop – Setup & PBIX Structure
- What is Cloud Computing?
- IaaS, PaaS, and SaaS Models
- Azure Services: Compute, Networking, Storage, etc.
3. Data Loading – Getting Your Data In
- Azure Storage Fundamentals
- Structured, Semi-Structured, and Unstructured Data
- Azure Blob Storage
4. Power Query Basics – Clean & Shape Data
- ETL vs ELT: Key Concepts and Differences
- What is Azure Data Factory (ADF) and Its Importance
- Data Pipeline Architecture in ADF
- Dataflow vs Copy Activities
5. Advanced Power Query – Reshape & Transform
- ADF Transformations: Joins, Aggregations, Lookup, Conditionals, Error Handling
- Introduction to Azure Databricks
- Spark Basics: SparkSQL, DataFrames, RDDs, Delta Lakes
6. Data Modeling Essentials
- Azure Stream Analytics Overview
- Streaming Concepts and Real-Time Data Handling
- Azure Synapse Analytics Overview
7. Advanced Modeling – Build Reliable Models
- Set correct cardinality and filter directions
- Add and configure a Date table
- Data Governance in Azure
- Introduction to Azure Purview: Data Cataloging & Compliance
8. Visual Design Fundamentals
- Learn the rules of good data visuals
- Build charts: bar, line, donut, treemap
- Create clean tables and matrix views
9. Interactive Reports – Slicers, Filters & Drillthrough
- Use slicers for dynamic filtering
- Apply visual, page, and report-level filters
- Enable drillthrough and visual interactions
- Use Q&A visuals for natural language queries
10. DAX Fundamentals – Start Writing Formulas
- Understand what DAX is and where to use it
- Difference between Measures and Calculated Columns
- Create calculated columns to add intelligence
- Write your first DAX measures
11. Core DAX Functions – Think Like an Analyst
- Use essential DAX: SUM, COUNT, AVERAGE, IF, SWITCH, CALCULATE, FILTER/li>
- Understand filter context and row context
- Know when to use DAX vs M vs GUI
12. Dashboards, Storytelling & Power BI Service
- Design dashboards to explore trends
- Learn storytelling principles for analysts
- Annotate, bookmark, and guide through reports
- Publish to Power BI Service and mobile access
- Create workspaces, share securely, and schedule refresh
13. Capstone Project – Sales & Inventory Dashboard
- Build a complete Power BI analytics solution from scratch.
- Using real-world sales and inventory datasets, you’ll clean and model data, write DAX, build interactive visuals, and publish a fully functional dashboard. The project simulates a real retail business scenario and ends with a stakeholder-ready report that delivers actionable insights via web and mobile.
Core Strengths
- Cloud-native
- Azure-focused
- Data Engineering
Frequently Asked Questions
No, the course is structured to guide beginners through foundational concepts and gradually advance to complex, real-world applications.
You’ll be ready for roles such as Data Engineer, Azure Data Engineer, ETL Developer, Cloud Data Engineer, or Big Data Developer—with the skills to build, manage, and optimize data pipelines in a cloud environment.
The course dives into practical aspects of Azure Databricks, including Spark concepts, DataFrames, Delta Lakes, and Azure integration—enabling you to apply it confidently in real-world projects.