R is a programming language and a free software environment for statistical computing and graphics. The R language is widely used in data science and statistics, machine learning, and data analytics.
This course will introduce professionals to the R programming language and environment. You'll be introduced to R data structures, some built-in data manipulation, statistics and probability functions, and several basic programming constructs. You'll also learn how to import data, install external packages, and how to produce high-quality graphics.
Finally, we will illustrate the workflow with a statistical analysis of a small data set that will include data cleaning, exploratory data analyses, producing graphics, fitting a simple statistical model, and assessing the results.
Who should participate?
This class is ideal for professionals in the areas of data science, actuarial science, business, and engineering who hope to start their journey as a user of the powerful and versatile R programming environment.
Prerequisite: Knowledge of basic statistical concepts is expected.
Instructor Daniel Yorgov has a Ph.D. from the University of Colorado, Denver. He currently serves as an Assistant Professor of Applied Statistics at Purdue University Fort Wayne. His research interests are in applied statistics and using supercomputers to solve problems in genetics and medical research. He enjoys teaching mathematics and statistics, high performance computing, and playing with big biological datasets, a.k.a. bioinformatics.