R language is a high-level functional language and one of the must-know tools for data science and statistics. This solution-based course will be your guide, taking you through different programming aspects with R. You'll start by understanding how to set up R and R Studio, followed by exploring R packages, functions, data structures, control flow, and loops.

Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. This course focused on R and the R ecosystem, introduces you to the tools for working with data. It is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset.

Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. You’ll learn how to build statistical and advanced plots using the powerful ggplot2 library. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents.

At the end of the course, you'll be a confident R programmer adept at solving problems with the right techniques.