R Programming Beginner - Training Course

Learn the basic concepts of R programming for data analysis

Classes as per schedules.
R is a programming language specifically developed for statistical data analysis and for producing graphical output. The functionality of the base R package is greatly extended by user-contributed packages which contain a range of functions. There is often more than one way to achieve an outcome in R.
This introductory R course is the first in our series of R courses and provides an overview of the basics and introduces some of the functions and packages that can be used to work with data. The aim of this course is to provide a foundational understanding of:
  • R
  • R syntax
  • data types and objects
We recommend completing the R Beginner and the R Programming Intermediate course together where possible. You will learn how to apply a variety of techniques in the Intermediate course. Learn the fundamental concepts required to get you started using R scripts. View the full course outline below.

R Programming Beginner - Training Course

Learn the basic principles of R programming, the language for statistical and data analysis.

$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day

Remote East

Brisbane

Sydney

Parramatta

Melbourne

Canberra

Adelaide

Perth

Remote West

Upcoming Courses:
Remote East
Date
Course
City
Status
Wed 6 Nov 24
Wed
6
Nov
R Beginner
Remote East
Status: Confirmed
Confirmed
Mon 2 Dec 24
Mon
2
Dec
R Beginner
Remote East
Status: Few Seats
Few Seats
Mon 3 Feb 25
Mon
3
Feb
R Beginner
Remote East
Status: Scheduled
Scheduled
Fri 28 Mar 25
Fri
28
Mar
R Beginner
Remote East
Status: Scheduled
Scheduled
Brisbane
Date
Course
City
Status
Mon 2 Dec 24
Mon
2
Dec
R Beginner
Brisbane
Status: Few Seats
Few Seats
Mon 3 Feb 25
Mon
3
Feb
R Beginner
Brisbane
Status: Scheduled
Scheduled
Fri 28 Mar 25
Fri
28
Mar
R Beginner
Brisbane
Status: Scheduled
Scheduled
Sydney
Date
Course
City
Status
Wed 6 Nov 24
Wed
6
Nov
R Beginner
Sydney
Status: Confirmed
Confirmed
Parramatta

We don't have courses scheduled in your city currently. Please see our remote course options or contact us to register your interest.

Melbourne

We don't have courses scheduled in your city currently. Please see our remote course options or contact us to register your interest.

Canberra

We don't have courses scheduled in your city currently. Please see our remote course options or contact us to register your interest.

Adelaide

We don't have courses scheduled in your city currently. Please see our remote course options or contact us to register your interest.

Perth

We don't have courses scheduled in your city currently. Please see our remote course options or contact us to register your interest.

Remote West

We don't have courses scheduled in your city currently. Please see our remote course options or contact us to register your interest.

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Frequently Asked Questions

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. 

R Programming Beginner Course Details

Price
$745
Duration
1 day
Times
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 8
201 Charlotte Street
Brisbane QLD 4000
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 24/477 Pitt Street
Sydney
New South Wales 2000
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 7
79 George Street
Parramatta NSW 2150
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 12A
45 William Street Melbourne VIC 3000
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
NEW LOCATION
Level 2
221 London Circuit
Canberra ACT 2600
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 15
33 King William Street
Adelaide 5000
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 7
553 Hay Street
Perth WA 6000
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Times
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
microsoft_gold

R Programming Course Outlines

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What do I need to know to attend?

No specific pre-requisites for the course.

We recommend completing the R Beginner course together with R Intermediate.

R Programming Beginner Learning Outcomes

You will understand and be able to:

 

  • use R data types and objects
  • write basic syntax
  • create and manipulate objects



  • use functions
  • create basic data visualisations

R Programming Beginner Course Content

  • 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

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