Centre for Continuing Education

Introduction to R Programming Course

Data analysis and analytics. Uncover insights and transform your organisation.

COVID-19 update: arrangement of our courses

We are now delivering courses both online and in-person. Please check the delivery format for each class before you enrol.

Please note that course materials for all classes (excluding prescribed textbooks) are shared electronically within 48 hours of a course starting. Printing is not available.


Welcome to the fascinating and exciting world of R programming. R is an elegant programming language specifically designed for data science, analytics, and statistics. This ‘R for Beginners’ course takes you through the fundamental skills and techniques required to use R. By the time you leave this focused R tutorial, you will be equipped with the required skills to embark on your own data science adventures. Even the most inexperienced participants will walk away from the course with newfound confidence using R for statistics and data analysis.

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

Prerequisites

This course is designed with the beginner in mind. While some participants may have experience in other computer programming languages, no prior computer programming skills are required.

Delivery style

Delivery options:

  • Presenter-taught, computer-based training in a computer lab on University premises
  • Online training via the platform Zoom

Introduction to R will be taught through a series of concepts, examples, problem exercises, and in-class knowledge challenges. The material is presented so that participants of varying backgrounds, skills and abilities can all move together in a brisk, but comfortable learning pace. Utilising principles of productivity, efficiency, and time management, the course material and timeline is structured to optimise learning and value add.

Materials

You will be provided with a link to access and download the following course materials:

  • PowerPoint notes with examples
  • all code and script files used throughout the course
  • ancillary hand-outs and learning aids.

Additional information

Face-to-face classes

Face-to-face classes will be facilitated in a computer lab with R and RStudio pre-installed on all machines. You do not need to bring your own device.

R installation procedures are covered below, for participants needing guidance after the course completes.

USB devices are recommended for those who wish to save their work (code scripts, notes, etc) for later viewing.

Online classes

If you are attending an online class, you will need your own device with both R and RStudio installed. Both pieces of software are free to download as follows:

  • R can be downloaded here.
  • RStudio can be downloaded here (the free version will suffice).

Recommended reading

DeVries, A 2015, R for Dummies, 2nd edition, For Dummies.

Jones, O, Maillardet, R, and Robinson, A 2014, Introduction to Scientific Programming and Simulation Using R, 2nd edition, Chapman and Hall/CRC.

Wickem, H 2019, Advanced R, 2nd edition, Chapman and Hall/CRC.

Wickem, H 2017, R for Data Science, O’Reilly Media.

Features

  • $50 repeat class - Conditions apply
  • Expert trainer
  • Small class size
  • CCE Statement of Completion

Apply for the IT repeat discount.

Introduction to R Programming Course

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Introduction to R Programming Course

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Introduction to R Programming Course

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Introduction to R Programming Course

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Introduction to R Programming Course

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What others say.

  • The tutor was very intelligent and able to communicate the key principles, as well as patiently answer my questions throughout the day. CCE is an impressively organised centre, with good quality materials provided to students.
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