Applied Data Analysis with SQL

Raw operational data is rarely clean or ready for immediate reporting. This text-based course provides a structured foundation in SQL techniques tailored specifically for practical data analysis and decision-making. You will begin by exploring core terminology, relational database structures, and basic query logic before moving on to data cleaning and preparation methods. Through written explanations and code examples, you will learn to handle missing values, join complex tables, and aggregate business metrics using modern techniques like common table expressions. What you'll learn: Understand core database principles, data types, and SQL terminology. Clean and format inconsistent raw data, addressing missing values and duplicates. Combine datasets using relational joins and common table expressions. Apply window functions for dynamic ranking, running totals, and trend analysis. Query, parse, and extract fields from semi-structured JSON data. Import and export data efficiently across external file formats. The course begins with clear foundational concepts before advancing step by step through real-world analysis workflows. Designed for beginners and starting analysts, this course requires no prior database background. Read through the lessons and start transforming raw data into actionable insights.