Practical Data Analysis with Spreadsheets and SQL

In today's data-driven world, the ability to extract meaningful insights from raw information is a critical skill across almost every industry. This course bridges the gap between basic spreadsheet tasks and powerful database queries, giving you a versatile analytical toolkit. You will progress from understanding core data concepts to performing complex analyses. By combining the accessibility of spreadsheets with the robust querying power of SQL, you will learn how to clean messy datasets, perform statistical calculations, and structure your findings to tell a compelling story. What you'll learn: - Understand foundational data analysis concepts, terminology, and the structured lifecycle of data. - Clean and organize messy datasets using modern spreadsheet formulas, dynamic arrays, and advanced lookup functions. - Write efficient SQL queries to filter, aggregate, and join data from multiple database tables. - Apply Common Table Expressions (CTEs) and modern SQL practices to organize complex queries. - Calculate key summary statistics and evaluate correlations to identify trends and patterns. - Design clear, written reports and logical dashboard layouts that communicate insights effectively to stakeholders. The course begins with essential data terminology and foundational analysis frameworks. You will then transition from hands-on spreadsheet exercises to writing clear, structured SQL queries, building a comprehensive workflow for real-world projects. This course is designed specifically for beginners with no prior programming or advanced technical background. Anyone looking to build a strong foundation in data analysis will find this written guide accessible and practical. Start reading today to unlock the potential of your data and elevate your analytical skills.