R Programming Beginner - Training Course
Learn the basic concepts of R programming for data analysis
R is a programming language developed for statistical analysis and graphical data representation. This introductory R course provides a strong foundation in R fundamentals, covering essential concepts such as R syntax, data types, objects, and the use of functions and packages. You’ll gain a practical understanding of how to work with data in R and begin building your own scripts for analysis.
Classes are delivered as per schedule. We recommend completing both the R Beginner and R Programming Intermediate courses together for the best learning experience.
By the end of this course, participants will be able to:
No formal prerequisites. However, we recommend completing both R Beginner and R Intermediate courses for the best learning experience.
We don't have courses scheduled in your city currently. Please see our remote course options or contact us to register your interest.
We don't have courses scheduled in your city currently. Please see our remote course options or contact us to register your interest.
We don't have courses scheduled in your city currently. Please see our remote course options or contact us to register your interest.
R IntermediateData manipulation, basic exploratory data analysis, customised data visualisations and basic modelling in R.
R AdvancedBuild on your base knowledge of the R language and learn how to run data analysis more efficiently.
Machine Learning in RLearn the basic processes of machine learning using R programming. Led by an experienced data scientist.
Introduction
Introduction to R
Base R and contributed packages
Download and installation of base R
Installing R packages
The RStudio IDE
Download and installation
Overview of the RStudio environment
The main panes
Working directory
Workspace
Projects
Create a project
Using R as a Calculator
Executing commands from the command line and the source pane
Arithmetic operators
Relational operators
Logical operators
Creating Objects
Objects in R
Assignment operators
Naming rules
Basics of R Syntax
Creating objects
Viewing objects in RStudio
Viewing objects in the console
Data Types and Classes
Basic data types
Data structures in R
Vectors
Factors
Matrices
Arrays
Lists
Data frames
Tibbles
Which data structure should I use?
Changing data types
Implicit coercion
Explicit coercion
Naming parts of data objects
Column names
Row names
Dimension names
Names
Accessing Data within Data Structures
Referring to data by position
Referring to data by name
Replace parts of an object
Replace names
Replace values
Add to a data object
Add elements to vectors
Add rows or columns
Add by position
Add by name
Removing data from a data object
Remove elements from vectors
Remove rows or columns from matrices
Remove rows or columns from data frames and lists
Evaluation in R
Vector arithmetic
Order of operations
Vector recycling
Vectorised operations
Applying functions to elements of data structures
Using Functions
What is a function?
Syntax for using functions in R
Arguments
Getting help with a function
Overview of help documentation in R
Basic statistical summary functions
Masking of functions
Explicitly specifying the package name when calling a function
Package: conflicted
Importing Data
Importing data in RStudio
Importing data from text files (csv)
Exporting Data
Export data to text file
Basic Data Visualisation
The plot function
Add reference lines
Add text
Add a legend
Exporting plots
Course Introduction
Our R courses were designed by Tamara Shatar, who holds a PhD in Agricultural Data Science. She focused her extensive experience and skills in modelling using machine learning, simulation and other techniques to create a course with depth and applicability.
The course is consistently well-reviewed by students.
"I found this 1 day course to be packed full of information - a very heavy load but masterfully delivered. It is very clear that we were learning from someone who is extremely capable and experienced with both the software solution AND it's real world application. I liken the experience to taking golf lessons from Tiger Woods or basketball coaching from Michael Jordan. All questions were addressed as if they were always part of the planned course content - seamless. Thank you so much for this opportunity." - R Beginner Sydney Remote
What is R?
R is an open source and free programming language that was developed for statistical analysis and the production of high-quality graphics. It is commonly used by statisticians and academics internationally who make up part of the extensive and active user community behind R. This community has contributed over 15,000 packages that extend the base functionality of R, making it easy to implement a vast range of techniques for data manipulation, analysis, and visualisation.
Why make data-driven decisions?
A range of different industries have adopted R to make sense of their data. From customer segmentation, to demand forecasting, R can be used to improve operations by uncovering patterns within data, using a range of statistical methods, including sophisticated machine-learning techniques.
What is Remote Training?
Remote training at Nexacu means our experienced trainers will deliver your training live online. With remote learning, students can access our usual classroom training courses via video conferencing, ask questions, participate in the discussion, and share their screen with the trainer if they need help at any point. Students have the same level of participation and access to the trainer as they would in classroom training sessions.
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View Dates R IntermediateData manipulation, basic exploratory data analysis, customised data visualisations and basic modelling in R.
R AdvancedBuild on your base knowledge of the R language and learn how to run data analysis more efficiently.
Machine Learning in RLearn the basic processes of machine learning using R programming. Led by an experienced data scientist.
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Data Analytics Training in Melbourne
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Data Analytics Training in Sydney
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Data Analytics Training in Parramatta
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Data Analytics Training in Canberra
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