Construct and execute basic programs in R using elementary programming techniques and tidyverse packages (e.g.Students will leave the course with basic computational skills implemented through many computational methods and approaches to data science while students will not become expert programmers, they will gain the knowledge of how to adapt and expand these skills as they are presented with new questions, methods, and data. Major emphasis is placed on a pragmatic understanding of core principles of programming and packaged implementations of methods. The focus of the course is on generating reproducible research through the use of programming languages and version control software. We say that based on Gits general prevalence and, specifically. This is an applied course for data scientists with little-to-no programming experience who wish to harness growing digital and computational resources. In Section 5.2 we encouraged the use of the RStudio IDE for package development work.
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