Quantitative Reasoning and Statistics for Urban Planners

Urban planning requires more than just spatial design; it demands data-driven insights to understand community needs, population trends, and policy impacts. This text-based course guides you through the essential quantitative and statistical tools used by professional planners to analyze demographic, economic, and survey data. Through clear written explanations, you will learn to: 1. Understand core statistical concepts like descriptive statistics, probability, and hypothesis testing in an urban planning context. 2. Analyze demographic and socioeconomic datasets to identify key community trends. 3. Interpret survey results and data patterns to support evidence-based policy recommendations. 4. Apply quantitative reasoning to evaluate the effectiveness of planning interventions. 5. Practice modern data hygiene and reproducible analysis principles to ensure your findings are reliable. Starting with fundamental definitions of variables and data types, the written lessons guide you step-by-step through descriptive analysis, probability distributions, and basic hypothesis testing. Each concept is reinforced with practical planning-based scenarios and written problem-solving exercises. This course is designed specifically for beginners, aspiring urban planners, and public policy students with no prior background in statistics. Start building your quantitative planning skills today.