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.
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.
We encourage you to use the CCE R Programming level self-assessment tool if you are unsure which course level to enrol in.
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 programming skills are required.
Delivery Modes
Face-to-face, presenter-taught training using your own device
Online training via the platform Zoom
Face-to-face classes
These classes run in a classroom and you need to bring your own device with R and RStudio installed. You should ensure it is fully charged as access to power is limited. Please note that the University does not carry any responsibility for your lost, stolen, or damaged devices whilst on the University premises.
Online classes
You will need your own device with R and RStudio installed.
Delivery Style
This course is 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
A link to access and download the following online course materials is provided:
PowerPoint notes with examples
all code and script files used throughout the course
ancillary hand-outs and learning aids.
Before The Course
You will need your own device with R and RStudio installed. Both pieces of software are free to download.
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.
Wickham, H 2019, Advanced R, 2nd edition, Chapman and Hall/CRC.
Wickham, H 2017, R for Data Science, O’Reilly Media.
If you wish to learn English at the University of Sydney, consider enrolling in an English course with CET. CET contributes to the University of Sydney's efforts to support international students through the provision of preparatory English language courses.
Our English teachers are highly qualified above and beyond the stringent standards of the Tertiary Education Quality and Standards Agency (TEQSA). CET is a fully accredited English school.
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