Introduction to Data Analysis Using R

The Introduction to R course is designed to equip learners with the basics of R programming for beginners, providing a strong foundation in the essentials of this powerful statistical programming language. Upon completion, learners will have a solid grasp of R’s capabilities and be well-prepared to tackle more complex tasks. This introduction serves as the best course to learn R programming for those seeking a comprehensive and practical start in data science and statistical computing.

Learning objectives and outcomes:

• Understand the basics of R, including its history and applications in data analysis.
• Successfully installed R and set up a working environment with RStudio.
• Navigate R’s Comprehensive R Archive Network (CRAN) and access R documentation for help.
• Utilize the R console and RStudio interface for executing R scripts.
• Identify and install popular R packages and libraries to extend functionality.
• Manage packages by learning how to install, load, and update them as needed.
• Set and get the working directory for organizing R projects and scripts.
• Create, run, and save R scripts, as well as exit R while preserving work.
• Use comments and understand reserved words within the R programming language.
• Perform basic arithmetic operations in R using various operators and understand scalar data types.
• Manipulate atomic vectors, matrices, lists, and data frames for effective data structure management.

Course Prerequisites