Data Analysis Programming with Python, SQL, and Excel

To make data-driven decisions, you need to know how to collect, clean, and analyze information efficiently. Relying on basic spreadsheet tools alone is no longer enough in today's data-rich environment. This text-based course bridges the gap between raw data and actionable insights by teaching you the essential programming skills used by modern analysts. You will transition from manual data entry to writing efficient SQL queries, automating workflows with Python, and leveraging Excel for advanced analysis. What you'll learn: - Understand foundational data concepts, relational databases, and programming logic. - Write SQL queries to extract, filter, and join data from relational databases. - Apply Python fundamentals and modern libraries like pandas to clean and manipulate complex datasets. - Utilize advanced Excel functions and logical formulas for rapid data exploration. - Practice writing clean, readable Python code using modern conventions and type hints. - Combine Python, SQL, and Excel workflows to build a cohesive data analysis pipeline. The course begins with core definitions and database structures, ensuring you have a strong theoretical foundation. You will then progress through practical, text-based lessons filled with code snippets, step-by-step logic breakdowns, and written exercises designed to build your confidence. This course is designed specifically for beginners with no prior programming or computer science background who want to start analyzing data effectively. Start reading today to unlock the power of programming for data analysis.