🚀 Watch Me Solve a Data Analytics Project Using SQL | 50+ SQL Questions with Amazon Customer Data

🚀 Welcome to this End-to-End Data Analytics Project using SQL! In this video, I'll walk you through a real-world Amazon Customer Data Analytics Project and solve 50+ SQL Questions step-by-step. This project simulates the type of analysis performed by Data Analysts, Business Analysts, Analytics Engineers, and Data Engineers in real companies. You'll learn how to analyze customer behavior, sales trends, product performance, and business metrics using SQL. 📊 What You'll Learn: ✅ SQL Basics ✅ Filtering & Aggregations ✅ GROUP BY & HAVING ✅ Customer Segmentation ✅ Sales Analysis ✅ Product Analysis ✅ Customer Retention Analysis ✅ Joins & Self Joins ✅ Window Functions ✅ Ranking Functions ✅ CASE WHEN ✅ Real Business Problem Solving 📈 Project Objectives: • Top Customers Analysis • Customer Lifetime Value • Revenue Analysis • Product Performance Analysis • Customer Purchase Behavior • Category Wise Performance • Business KPI Reporting • Dashboard Ready Metrics 💼 Perfect For: ✔ Data Analyst Interviews ✔ Business Analyst Interviews ✔ Data Engineer Interviews ✔ SQL Practice ✔ Portfolio Projects ✔ Data Analytics Beginners 📥 FREE SQL Practice Material Comment "DATA" below and I'll share: ✅ SQL Solutions ✅ Practice Dataset ✅ Project Questions ⏱ Chapters ⏱️ Timestamps 00:00 – Introduction 01:22 – Data Understanding 02:29 – SQL Basic Functions 13:41 – Order by and Limit 16:21 – SQL Sub Queries 19:31 –Group by and SQL Aggregations 31:10 – SQL JOINs 42:15 – SELF JOINs 52:40 – CROSS JOINs 01:01:45 – Window Functions 01:09:43 – RANK() , ROW_NUMBER() and DENSE_RANK() 01:13:28 – SQL SUM () Window Functions 01:13:28 – SQL SUM () and AVG() Window Functions 01:21:06 – SQL LEAD , LAG, NTILE, PERCENT_RANK Window Functions 01:32:14 – Bonus Concept - CASE WHEN 🔥 Don't forget to Like, Comment, Share and Subscribe for more SQL, Analytics, Python and Career content. #SQL #DataAnalytics #DataAnalyst #SQLProject #learnsql #SQL #DataAnalytics #SQLProject #DataAnalyst #LearnSQL #SQLTutorial #DataEngineer #BusinessAnalyst #Analytics #SQLInterviewQuestions #SQLPractice #AmazonDataAnalysis #PortfolioProject #DataScience #100DaysSQLChallenge