(Formerly numbered 407A.) Lecture, three hours. Requisite: course 100 or 200A, or Public Health 200A and 200B, or consent of instructor. Designed to broadly offer R coding experience, with emphasis on data management, visualization, and analysis. Topics include data manipulation, causal inference, generation of publication-suitable figures and tables, and construction of functions. S/U or letter grading.