Created by: Swapnjeet S
Founder β Data Tutorials YouTube Channel (215K+ Subscribers)
Lead Data Analyst | 11+ Years of Industry Experience
Power BI is one of the most in-demand business intelligence tools used by organizations worldwide to transform raw data into meaningful insights.
This Power BI Complete Video Course is designed to help you master Power BI from scratch and progress step-by-step to advanced reporting, DAX, data modeling, Power BI Service, AI features, and real-world projects.
Whether you are a beginner or a working professional, this course will help you build industry-ready dashboards and gain the confidence to work on real business data.
Detailed Syllabus - https://docs.google.com/document/d/1Gjz0J91hDs20E61UHrbGXCEoD_FmNK11HalUxcZbo1k/edit?usp=sharing
Module 1: Power BI Fundamentals & Overview
Module 2: Data Import & Connectivity
Module 3: Import Mode vs Direct Query Mode
Module 4: Data Types, Field Properties & Summarization
Module 5: Power BI File Formats & Templates
Module 6: Hierarchies, Drill Down & Drill Up
Module 7: Data Visualization & Charts
Module 8: Sorting Techniques in Power BI
Module 9: Filters & Interactivity
Module 10: Slicers & User Controls
Module 11: Groups & Bins
Module 12: Parameters & What-If Analysis
Module 13: Data Cleaning & Transformation (Power Query)
Module 14: Data Modeling & Relationships
Module 15: DAX Fundamentals
Module 16: DAX β Aggregate Functions
Module 17: DAX β Logical Functions
Module 18: DAX β Date & Time Functions
Module 19: DAX β Time Intelligence
Module 20: DAX β Filter Functions
Module 21: DAX β Text Functions
Module 22: Visual Calculations in Power BI
Module 23: Power BI Service & Deployment
Module 24: AI & Advanced Analytics in Power BI
Module 25: Real-World Projects & Case Studies
Module 26: Important Power BI Handy Notes
Module 27: Interview Questions & Answers (All Levels)
1. Bank Loan Analysis (Finance)
2. Amazon Sales Dashboard (E-Commerce)
3. Call Center Analytics (Operations/Marketing)
4. Adidas Sales Performance (Retail & Marketing)
5. Car Sales Dashboard (Automotive)
6. Electric Vehicle Insights (EV / Manufacturing)
7. HR Analytics Dashboard (Human Resources)
8. Pizza Sales Dashboard (Food & Service)
9. Ecommerce Sales Analysis (Supply Chain)
10. IPL Analysis (Sports Analytics)
11. Road Accident Report (Transport & Safety)
12. Blinkit Analysis (Quick Commerce)
13. India General Elections Results (Political Data Analytics)
14. Hospital ER Performance (Healthcare)
15. Spotify Music Analysis (Entertainment Streaming)
16. Uber Trip Analysis (Mobility & Ride-hailing)
17. Shopify Funnel Report (Digital Commerce)
18. IPL Advanced Analysis 2008β2025 (Big Data Sports)
19. Sales Performance & Target Report (Corporate Analytics)
20. Insurance Risk & Claims Analytics + Meta Ads (Insurance & Digital Marketing)
Every project helps you understand how analytics works across different industries, making you interview-ready for any domain.
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