SQL Querying Fundamentals for Data Analysis

Data is the backbone of modern decision-making, but you first need to know how to ask the right questions to access it. This course takes you from understanding what a database is to writing sophisticated queries that power data science workflows. You will transform from a beginner into a confident data retriever, capable of navigating complex datasets to find the exact information you need. Through clear written explanations and code-based examples, you will learn to communicate effectively with relational databases. What you'll learn: - Understand core database concepts and the role of the SELECT statement in data retrieval - Filter and sort datasets using logical operators and conditional expressions to isolate key information - Perform data aggregation to summarize large volumes of records into meaningful insights - Apply joins to combine data from multiple tables and create comprehensive datasets - Practice modern techniques like Common Table Expressions (CTEs) for cleaner and more readable code - Clean and transform raw data using built-in SQL functions for analysis-ready results The material begins with essential terminology and the anatomy of a query before moving into practical logic, data manipulation, and multi-table operations. You will progress through structured written modules designed to build your technical vocabulary and syntax knowledge step-by-step. This course is designed for absolute beginners who want to start their journey in data analysis or data science, with no prior coding experience or technical background required. Start building your data querying skills through comprehensive written lessons and practical exercises.