About Course

The goal of this course is primarily enabling students to efficiently use the R programming language with the emphasis on problem solving and practical application. The R programming language is used for data analysis, data manipulation, graphics, statistical computing and statistical analysis. In short, R helps you analyze data sets beyond basic Excel file analysis. R is a free software environment that runs on a wide variety of UNIX platforms, Linux, Windows and Mac OS. The course begins with developing a basic understanding of the R working environment. Next, students will be introduced the necessary arithmetic and logical operators, salient functions for manipulating data, and getting help using R. Next, the common data structures, variables and data types used in R will be demonstrated and applied. Utilize the various packages available in R for visualization, reporting, data manipulation and statistical analysis. Students import data sets, transform and manipulate those datasets for various analytical purposes. The course covers practical issues in statistical computing which include various parametric and Non parametric tests. This course is designed for those who have no experience in R programming. This gives you skill in programming and R and introduce you to a new way of thinking, a new language for speaking and reading (vectors, data frames, functions etc.) and a new syntax for writing eg: c(), print() etc. for data analysis and presentation.

Prerequisites

Basic knowledge in Statistics and Mathematics

Outcomes

After successful completion of the course students should be able to • Understand the basics in R programming • Import, review, manipulate and summarize datasets in R • Explore datasets to create testable hypotheses and identify appropriate statistical tests • Perform appropriate statistical tests using R • Create and edit visualizations with R