Excel for Statistical Analysis and Data Transformation

Raw data is rarely ready for analysis, and making sense of it requires both clean structure and the right analytical tools. This text-based course guides you through preparing your datasets and applying essential statistical techniques directly within Excel. You will transition from manually cleaning spreadsheets to systematically transforming data and running statistical tests. By understanding the core principles of data distribution, descriptive statistics, and modern Excel formulas, you will gain the confidence to back up your business decisions with solid data. What you'll learn: Understand foundational statistical concepts, including mean, median, standard deviation, and variance; Clean and transform messy datasets using modern Excel functions and Power Query fundamentals; Analyze data distributions and identify outliers using formula-based techniques; Apply correlation and regression formulas to discover relationships between variables; Perform hypothesis testing and interpret probability metrics for business scenarios. The course begins with essential terminology and data concepts before moving into hands-on transformation techniques. You will then progress to descriptive statistics, probability distributions, and predictive modeling using practical, text-guided scenarios. This course is designed for beginners, business analysts, and aspiring data professionals who want to build a strong analytical foundation in Excel. No prior statistical or advanced spreadsheet experience is required. Start reading today to unlock the analytical power of your data.