FOR/STT 875 - R Programming for Data Sciences - FS16
Programming in R and use of associated Open Source tools. Addressing practical issues in documenting workflow, data management, and scientific computing.
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 Survey1 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.