R programming is a programming language that is used mainly in the statistical computing sector. It is often used by data scientists and data miners for data analytics and to develop statistical software.
Bringing a combination of private, public, and academic professional experience, your instructor will guide you through this R tutorial, showing you step by step how to utilise R.
You’ll set up R and the excellent development environment RStudio, import external data, utilise add-in packages, process data for specific use, derive elementary summary statistics, and produce basic statistical visualisations.
Aims:
This course aims to provide a practical introduction to the R programming language. By the end of the day-long course, the user will be comfortable operating in the R environment, including importing external data, manipulating data for specific needs, and running summary statistics and visualisations.
Outcomes:
By the end of this course, you should be able to:
- download and install R and RStudio.
- navigate and optimise the R integrated development environment (IDE) RStudio.
- install and load add-in packages.
- import external data into R for data processing and statistical analysis.
- learn the main R data structures – vector and data frame.
- compute basic summary statistics.
- produce data visualisations with the ggplot package
- solve fundamental error problems.
Content:
- The R Statistical Programming Language
- The RStudio Integrated Development Environment (IDE).
- Data importation methods.
- Basic R Data Types.
- Data processing and manipulation techniques.
- External add-in packages for R.
- Summary statistic functions.
- Data visualisations using ggplot.
- Error types.
Intended audience:
- Business professionals.
- Managers.
- IT knowledge workers.
- Lifelong learners looking to use and understand the basics of R.
This course is designed with the beginner in mind. While some participants may have experience in other computer programming languages, no prior programming skills are required.