Social Survey Analysis and EDA with Statistics

Social research relies on accurate survey data, but raw responses are often messy and complex. Understanding how to systematically analyze this data is key to uncovering real human insights. This course guides you from foundational social research concepts to conducting your own exploratory data analysis (EDA). You will gain the confidence to clean survey datasets, apply statistical tests, and interpret results to make data-driven decisions. What you'll learn: 1. Understand foundational social science research methods and survey design principles. 2. Clean and prepare messy survey datasets using modern data manipulation techniques. 3. Perform exploratory data analysis (EDA) to find patterns and trends in human behavior. 4. Apply core statistical concepts including hypothesis testing and correlation to survey responses. 5. Analyze demographic data and cross-tabulations to extract meaningful demographic insights. 6. Practice interpreting statistical outputs to write clear, evidence-based research summaries. You will start with the core terminology of social science research and survey design before moving step-by-step through data cleaning, exploratory analysis, and statistical testing using real-world survey scenarios. This text-only course is designed for absolute beginners, aspiring social researchers, and data analysts looking to specialize in survey methodologies, with no prior statistical background required. Start reading today to transform raw survey responses into actionable social insights.