Course Description

R Basics - R Programming Language Introduction R is a programming language and software environment that is widely used for data analysis and statistical computing. It is an open-source language that is free to use and has become one of the most popular languages for data analysis and statistical computing in recent years. This course, R Basics - R Programming Language Introduction, is designed to introduce participants to the fundamental concepts of the R programming language and its applications. This course is suitable for individuals who have little or no prior experience with R programming. It is designed to provide participants with a solid foundation in R programming, including the essential concepts, syntax, and data structures. The course covers a range of topics, from basic data types and operators to more advanced topics such as functions, data frames, and statistical analysis. Throughout the course, participants will learn how to use R for a variety of tasks, including data manipulation, visualization, and statistical analysis. They will also learn how to work with R packages, which are collections of functions, data, and documentation that extend the capabilities of R. The course begins with an introduction to R and its ecosystem, including RStudio, an integrated development environment (IDE) for R. Participants will learn how to install and configure R and RStudio, and how to use RStudio to write and execute R code. They will also learn how to use R for basic data manipulation tasks, such as importing data, filtering and sorting data, and transforming data. As participants progress through the course, they will learn more advanced topics such as functions, data frames, and statistical analysis. They will learn how to write and use functions, how to work with data frames, which are a common way to store and manipulate data in R, and how to perform statistical analysis using R. By the end of the course, participants will have a solid understanding of the R programming language and its applications. They will be able to write their own R scripts, use R for data manipulation and analysis, and work with R packages to extend the capabilities of R. This course is a great starting point for anyone interested in data analysis and statistical computing, and it provides a foundation for more advanced R courses. Author: R-Tutorials Training (Udemy)