Stata for Planners: Applied Statistical Methods

Effective urban and regional planning relies on robust data analysis to understand trends and predict outcomes. This course introduces you to Stata, a powerful statistical software, enabling you to transform raw data into actionable insights for planning. By the end of this course, you will be able to confidently navigate the Stata interface, perform essential data management tasks, apply fundamental statistical techniques, and interpret results to support evidence-based planning. What you'll learn: * Understand the Stata interface and fundamental commands for data manipulation. * Apply descriptive statistics and basic data visualization techniques to urban datasets. * Perform essential data cleaning and preparation steps for quantitative analysis. * Conduct inferential statistical tests, including t-tests and chi-squared tests, to draw conclusions from planning data. * Interpret the results of simple linear regression models to identify relationships between planning variables. * Practice creating reproducible Stata analysis scripts using do-files for transparent research. The course begins with an introduction to the Stata environment and data handling, progressing through descriptive and inferential statistics, and culminating in practical applications for urban and regional planning. This course is designed for aspiring urban and regional planners, students in urban studies, and professionals new to statistical software who want to leverage quantitative methods for informed decision-making. No prior experience with Stata or advanced statistics is required. Start building your analytical toolkit for a data-driven approach to planning today.