Temple University 3 credits EPBI
This course is designed to provide students with a solid foundation in statistical computing using SAS and R programming software, which are standard analytic packages in research, business, and public health practice. The course includes an introduction to data management principles and data documentation followed by a series of SAS and R modules. These modules cover syntax and logic for writing SAS and R code to: manipulate datasets, including but not limited to data cleaning and recoding continuous and categorical variables; conduct descriptive analyses; and interpret output for statistical tests for measures of disease frequencies.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.