Data Analysis Foundations: SQL, Python, and Power BI

In today's data-driven world, the ability to translate raw numbers into actionable business insights is one of the most in-demand skills. This written course provides a clear, step-by-step pathway to understanding the core pillars of data analysis without any prior technical background. You will transition from a complete beginner to a capable analyst who can query databases, write clean Python code for data manipulation, apply statistical models, and build interactive dashboards. By studying foundational concepts first, you will develop a deep theoretical understanding before applying these skills to realistic business scenarios. What you'll learn: - Understand foundational statistical concepts, hypothesis testing, and data distribution patterns. - Query relational databases using SQL to extract, filter, join, and aggregate datasets. - Write clean Python code using modern practices like type hints and data manipulation libraries such as pandas. - Design clear, accessible Power BI dashboards that communicate key performance indicators effectively. - Apply data cleaning and preparation techniques to ensure high-quality analysis. - Interpret analytical results to make evidence-based recommendations for business growth. The course begins with essential terminology, mathematical basics, and data structures. You will then progress through structured written modules covering database querying, programming, and visualization techniques, building your confidence step by step. This course is designed specifically for beginners, career switchers, and aspiring analysts with no prior programming or database experience. Start reading today and build the foundational technical skills required for a successful career in data analysis.