This document summarizes statistical data analysis. It discusses the meaning of data analysis as inspecting, cleansing, transforming and modeling data to discover useful information for decision making. The objectives and steps of data analysis are defined as defining objectives, preparing data, descriptive analysis, confirmatory analysis, interpretation and reporting. Quantitative analysis involves measures like mean and standard deviation while qualitative analysis examines interviews and documents for common patterns. Benefits to business include informed decision making, identifying trends, cost efficiency and strategic planning. Methods of data interpretation are collecting clean data, choosing qualitative or quantitative analysis methods, observing qualitative data and using statistical measures for quantitative data.