Power BI + SQL + Python + AI + Projects Course with Swapnjeet S

Power BI Complete Video Course - With AI

Beginner to Advanced (With Projects & DAX)

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Python Complete Course (With 3 Projects)

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SQL Complete Video Course (with 3 Projects)

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Power BI Project Video Course – 22 Unique Projects Across Multiple Domains

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Data Analyst Complete Material (Edition 2026)

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Power BI Material - 2026 Edition - PDF Notes, Cheat Sheets, PPTs, QnA (all Levels), Notes, Interview Ready Notes, Etc

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SQL Material - 2026 Edition - PDF Notes, Cheat Sheets, PPTs, QnA (all Levels), Notes, Interview Ready Notes, Etc

Created by: Swapnjeet S

Founder – Data Tutorials YouTube Channel (245K+ Subscribers)

Lead Data Analyst | 12+ Years of Industry Experience

This all-in-one Data Analyst bundle is designed to take you from beginner to industry-ready professional using the most in-demand tools Power BI, SQL & Python.

Whether you are a student, working professional, career switcher, or aspiring Data Analyst, this structured learning path will help you master concepts, build strong projects, and crack interviews confidently.

Python Course Curriculum:

Module 1: Python Introduction

Module 2: Getting Started

Module 3: Data Types

Module 4: Operators

Module 5: Strings

Module 6: Text Standardization

Module 7: f-Strings

Module 8: Conditional Statements

Module 9: Loops

Module 10: Functions

Module 11: NumPy

Module 12: NumPy Operations

Module 13: NumPy Boolean Indexing and Filtering

Module 14: NumPy Statistical Functions

Module 15: NumPy Searching and Sorting

Module 16: Pandas

Module 17: Pandas Reading CSV and Excel Files

Module 18: Pandas Initial Data Checks

Module 19: Pandas Filtering

Module 20: Pandas Sorting Data

Module 21: Pandas Adding, Renaming and Deleting Columns

Module 22: Pandas Data Cleaning

Module 23: Pandas Statistical Functions

Module 24: Pandas GroupBy

Module 25: Pandas Merge and Joins

Module 26: Matplotlib

Module 27: Matplotlib Line Chart

Module 28: Matplotlib Bar Chart

Module 29: Matplotlib Scatter Plot and Histogram

Module 30: Matplotlib Pie Chart

Module 31: Seaborn

Module 32: Projects

SQL CURRICULUM:

Module 1: Introduction to SQL

Module 2: Creating Database

Module 3: Creating Table

Module 4: Data Types and Constraints

Module 5: DDL Commands

Module 6: DQL Commands

Module 7: Operators

Module 8: DQL – LIMIT, ORDER BY, OFFSET, GROUP BY & HAVING

Module 9: Aggregate Functions

Module 10: Primary & Foreign Key

Module 11: JOINS

Module 12: Subquery

Module 13: Window Functions

Module 14: CTE’s

Module 15: Text Functions

Module 16: Numeric Functions

Module 17: Control Flow Functions

Module 18: Date & Time Functions

Module 19: Views

Module 20: Scenario-Based Interview QnA

Module 21: SQL Complete Material

Module 22: SQL Projects

POWER BI CURRICULUM:

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 – Aggregate Functions

Module 17: DAX – Logical Functions

Module 18: DAX – Date & Time Functions

Module 19: DAX – Time Intelligence

Module 20: DAX – Filter Functions

Module 21: DAX – 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: Claude AI in Power BI (Complete setup and Real time Analysis)

Module 26: Real-World Projects & Case Studies

Module 27: Important Power BI Handy Notes

Module 28: Interview Questions & Answers (All Levels)

Power BI Projects Included (20 Highly Practical Use Cases)

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 2008–2025 (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.

📞 For Support or Queries

📧 Email: [email protected]

📱 WhatsApp: +91 9579005495