Welcome to Part I of our beginner-friendly SQL tutorial series on Data Analyst BI. In this first module, you’ll learn the fundamentals of relational databases and get your environment ready for hands-on SQL practice. Whether you aim to become a Data Analyst, BI Developer, or just want to query data like a pro, mastering these SQL basics will set you on the path to success. Introduction to Databases and SQL Structured Query Language (SQL) is the universal standard for interacting with relational databases. Before writing your first query, it’s essential to understand: What is a Database? A database stores information in tables made up of rows (records) and columns (fields). Common examples include customer lists, sales transactions, or inventory logs. Why Relational Databases? Relational databases enforce data integrity through primary keys, foreign keys, and constraints. This structure makes it easy to join related tables and maintain consistent, accurate data. The Role of SQL SQ...
Welcome to Data Analyst BI! If you’ve ever felt overwhelmed by rows, columns, and cryptic error messages when trying to write your first SQL query, you’re in the right place. Today we’re launching a comprehensive SQL tutorial series crafted specifically for beginners. Whether you’re just starting your data career, pivoting from another field, or simply curious about how analysts slice and dice data, these lessons will guide you from day zero to confident query builder. In each installment, you’ll find clear explanations, annotated examples, and hands-on exercises. By the end of this series, you’ll be able to: Write efficient SQL queries to retrieve and transform data Combine multiple tables to uncover relationships Insert, update, and delete records safely Design robust database schemas with keys and indexes Optimize performance for large datasets Ready to master SQL in a structured, step-by-step way? Let’s explore the full roadmap ahead. What You’ll Learn: Table of Contents Part...