R Data Analytics for Public Policy

Modern public administration requires more than just intuition; it demands evidence-based insights derived from complex datasets. This course provides a clear path for anyone looking to use R to tackle social challenges and improve government services. You will gain the confidence to import, clean, and interpret data specifically within the context of public policy and non-profit work. You will move from understanding basic R syntax to performing meaningful analysis on real-world public datasets, enabling you to contribute to evidence-based decision-making. By focusing on the unique needs of the public sector, you will learn how to turn raw information into actionable policy recommendations. What you'll learn: - Understand the core principles of using data to shape public policy and governance. - Master R programming basics, including variables, vectors, and data frames. - Clean and organize complex public sector datasets using modern pipe operators and tidyverse tools. - Apply descriptive statistics to summarize social and economic indicators. - Practice evaluating policy outcomes through structured data analysis exercises. - Understand data ethics and the importance of reproducible research in the public domain. The course begins with essential terminology and basic R operations before moving into practical data cleaning and policy evaluation methods. You will work through written explanations and code-based exercises designed to build your analytical skills from the ground up. This course is designed for beginners, public administrators, and policy students; no prior coding or statistics experience is expected. Begin your journey toward becoming a data-informed public professional today.