Statistical Analysis in Excel: Hypothesis Testing and Data-Driven Decisions

Making business decisions based on gut feelings can lead to costly mistakes. To truly understand your data, you need to know if your results are statistically significant or just a result of random chance. This text-based course teaches you how to apply statistical thinking directly within Excel. You will transition from simply looking at spreadsheets to performing robust hypothesis tests that back up your business recommendations with mathematical proof. What you'll learn: Understand the foundational concepts of statistical significance, p-values, and null hypotheses; Clean and prepare your business data using modern Excel functions to ensure accurate analysis; Perform t-tests, A/B testing analysis, and chi-square tests using Excel formulas; Interpret statistical outputs correctly to make confident, evidence-based business decisions; Apply modern Excel features like dynamic arrays to streamline your statistical workflows. You will start with the fundamental terminology of statistics before moving step-by-step through practical, real-world business scenarios where you will apply these concepts using clear, written explanations and formulas. This course is designed for business professionals, marketers, and data beginners who want to build analytical skills using Excel. No prior background in statistics or programming is required. Start mastering statistical thinking today and bring mathematical certainty to your business reports.