1 day course 
Private 
Certificate of Attendance Whether you’re a budding data analyst or simply exploring your data visualisation options, our Fundamentals of R course has got you covered.
R is a powerful programming language that allows you to process, explore, model and visualise data with unmatched flexibility. In this one-day course, led by our expert practitioners, we’ll introduce you to the R essentials.
Through a series of hands-on exercises, we’ll give you the opportunity to apply what you learn in real-time as you work to build a custom report of your own - an ideal starting point for your personal data visualisation portfolio.
This Introduction to R course is available as a private session that can be delivered via Virtual Classroom, at our training centre in The Shard, London, or at a location of your choice across the UK.
Course overview
Who should attend:
This course is perfect for anyone unfamiliar with the programming language R: whether you’re a beginner data scientist, analytics or business intelligence analyst, or other professional looking for hands-on data visualisation experience, this course is an ideal introduction.
What you'll learn:
By the end of this course, you will be able to:
- Understand the capabilities and limitations of the R programming language
- Be confident importing and manipulating a dataset within RStudio
- Know which packages and plugins are available for creating custom visualizations of analytics data using R
- Know how you can use R for more advanced data analysis, such as predictive modelling
Prerequisites:
Although this course is intended as an introduction to the R programming language, you may benefit from having some familiarity with other programming languages or data science concepts. As there will be in-platform exercises on the day, you’ll also need to be able to install and run:
- R
- RStudio
Course agenda
- Getting started with R and RStudio
- Essential programming concepts for R
- Basic R syntax and commands
- Bringing data into the platform
- R packages
- Data wrangling
- Exploring data with R
- Creating basic visualisations
- Overview of advanced analyses, such as modelling
- R Markdown
- Creating a report in RStudio