Foundational Statistics in R for Public Health

Ready to use the power of data to understand health trends and outcomes? This course introduces the R programming language as a practical tool for statistical analysis in the public health sector, starting from the absolute basics. You will move from core principles to practical application, learning how to manage, analyze, and visualize public health datasets. By the end, you'll be equipped to perform common statistical tests, interpret their results in a public health context, and communicate your findings clearly and effectively. What you'll learn: - Learn the fundamentals of the R language for data analysis. - Master data wrangling and cleaning using the Tidyverse toolkit. - Create compelling data visualizations for public health reports with ggplot2. - Apply common statistical tests like t-tests, chi-squared, and simple regression. - Interpret statistical output to draw meaningful conclusions about health data. - Build reproducible reports to communicate your analytical findings. The course begins with the essentials of R syntax and statistical theory before moving on to hands-on exercises in data manipulation, visualization, and hypothesis testing using real-world-inspired scenarios. This course is designed for absolute beginners. No prior experience in programming or statistics is required, making it ideal for students, researchers, and professionals in the public health field. Start your journey into public health data analysis today.