Andrew Finley
Professor, Forest Management and Modeling
finleya@msu.edu
517-432-7219
R has emerged as a preferred programming language in a wide range of data intensive disciplines (e.g., O'Reilly Media's 2014 Data Science Data Science Salary Survey found that R is the most popular programming language among data scientists). The goal of this course is to teach applied and theoretical aspects of R programming for data sciences. Topics will cover generic programming language concepts as they are implemented in high-level languages such as R. Course content focuses on design and implementation of R programs to meet routine and specialized data manipulation/management and analysis objectives. Attention will also be given to mastering concepts and tools necessary for implementing reproducible research.
View the proposed syllabus for FOR/STT 875.
FOR/STT 875 is delivered entirely online through the course management system D2L. It will be an active, project-based learning environment that focuses on:
FOR/STT 875: R Programming for Data Sciences is available for undergraduate, graduate and lifelong education students. There are no prerequisite or co-requisite courses.
If you are not a MSU student and would like to take FOR/STT 875, you can apply to MSU as a Lifelong Education student. This is a free, one-page application and does not require essays or additional materials. Learn more about MSU Lifelong Education at the Office of the Registrar Lifelong Education page.
Professor, Forest Management and Modeling
finleya@msu.edu
517-432-7219