Data Analysis for Business Decisions with Excel and SPSS

In today's data-driven economy, the ability to translate raw numbers into actionable business strategy is a critical skill. This course teaches you how to interpret statistical data and apply analytical workflows to make confident, evidence-based business decisions. You will learn to navigate data landscapes, understand key statistical metrics, and use industry-standard tools to solve complex business problems. By reading through clear explanations and structured written examples, you will build a solid foundation in business intelligence and predictive analysis. We start with essential terminology and foundational statistical concepts before moving into hands-on data manipulation and reporting. What you'll learn: - Understand foundational statistical concepts and business decision-making frameworks - Perform descriptive and inferential data analysis using Excel formulas and functions - Navigate the SPSS interface to run statistical tests and interpret outputs - Analyze business trends and make forecasts using regression models - Apply data cleanup and modern data preparation techniques to ensure analysis quality - Interpret statistical significance to back up strategic business recommendations This course is designed as a step-by-step written guide, moving from basic statistical definitions to practical business applications. You will learn how to structure business questions, prepare your data, execute your analysis, and present findings clearly. This program is perfect for beginners, aspiring data analysts, and business professionals who want to make decisions based on data rather than intuition. No prior experience with statistics, Excel formulas, or SPSS is required. Start reading today to transform raw data into powerful business insights.