Data Analytics: Entering the World of SQL & Databases

We can easily manage 400 HR candidate records in Excel. But what happens when that data becomes 40,000… or even 4 million records? Does Excel remain the right tool? This video sets the foundation for understanding Databases and Data Modeling before we start working with MySQL. In this session, we explore: 🔹 What is a Database? 🔹 Why do we need Databases? 🔹 Tables, Rows and Columns 🔹 Introduction to Data Modeling 🔹 Requirement → Entities → Attributes → Relationships → ER Model → Schema 🔹 Entity, Attribute and Relationship 🔹 ER Modeling 🔹 Why shouldn't we store everything in one huge table? 🔹 Normalization 🔹 Converting a single HR table into multiple related tables 🔹 Database Management Tools 🔹 DBMS vs RDBMS 🔹 Excel vs Database Management Systems 🔹 Introduction to MySQL 🔹 MySQL Installation The goal is not just to learn database terminology, but to understand why databases became necessary when data started growing beyond what traditional spreadsheets could comfortably manage. 🎯 Coming up in the next One to One session: We will answer a very important question: “If Excel was already helping us clean data, create Pivot Tables, generate charts and even build dashboards… then WHY do we need MySQL?” That's where the real comparison between Excel and Databases begins. If you're learning Data Analytics, SQL or MySQL, this series will help you build the foundation step by step. 👍 Like | 💬 Comment | 🔔 Subscribe for the next session Small Note: This video is recorded in a simple, raw format without elaborate editing or a special recording setup. Please focus on the content and concepts rather than the production quality. 😊 #DataAnalytics #Database #MySQL #SQL #DataModeling #DBMS #RDBMS #Excel #Normalization #ERModel #DataAnalyst #SQLTutorial #MySQLTutorial #LearnSQL #DatabaseDesign