R Programming - Advanced Course

Work more efficiently in R language

Build on your knowledge of R. There are often many ways to achieve a result using R, this course will focus on learning how to run analysis more efficiently:
  • create your own functions
  • control structures
  • loops and loop alternatives
  • tidyverse piping syntax
  • create visualisations with ggplot2
You will work alongside our Data Analytics lead, Tamara Shatar, as you complete exercises throughout the day to cement your understanding of these concepts. The skills you learn on the day will empower you to build your own solutions in R.

R Programming - Advanced Course

Build on your base knowledge of the R language and learn how to run data analysis more efficiently.

$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
Fri 7 Feb 25
Fri
7
Feb
R Advanced
Remote East
Status: Scheduled
Scheduled
Brisbane
Date
Course
City
Status
Fri 7 Feb 25
Fri
7
Feb
R Advanced
Brisbane
Status: Scheduled
Scheduled
Sydney

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

Parramatta

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

Melbourne

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

Canberra

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Adelaide

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

Perth

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

Remote West

We don't have courses scheduled in your city currently. Please join 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. 

"The course was really good, the resources provided to help after the course are excellent. I was a bit overwhelmed at the beginning trying to learn a new language, but I was put at ease and we went through the content at a pace that I could understand." - R Beginner Brisbane 

"Interesting material and very well run. Thanks again." - R Advanced Brisbane Remote

What is Remote Training?

We offer some of our more specialist courses in a remote format. At Nexacu, this means you will learn the same content as you would in our classrooms and the same trainer will deliver training but all students will log in from their own premises and device. Our Data Scientist, Tamara will host the Data Analytics training sessions, walking you through the basics of R and answering questions and encouraging discussion along the way.

Why Learn R? 

Rather than being a point-and-click tool, R is a language that is used for writing reusable scripts, enabling automation and repeatable workflows. Because it is a language, it offers a huge amount of flexibility in manipulating data and the ability to write new functions. Even without a background in programming, it is relatively easy to get up and running once you know the basics. 

R Programming Advanced 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 Advanced 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 Advanced 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 Advanced 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 Advanced 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 Advanced 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 Advanced 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 Advanced 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 Advanced 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

Contact Us


What do I need to know to attend?

  • You should have completed our R Beginner and R Intermediate course or have basic familiarity with R.
  • You will not be expected to code unassisted but will learn more and participate more easily if you have at least a fundamental understanding of R syntax.
  • Basic understanding of statistics (mean, median, standard deviation, variance).

R Programming Advanced Learning Outcomes

You will develop a better understanding of R and be able to:

  • write custom functions
  • write more concise code



  • use functionals, loops and other control structures
  • create graphics with ggplot2.

R Programming Advanced Course Content

  • Working more efficiently in R
  • How to work more efficiently in R
  • Vectorisation
  • Using better functions
  • Concise code
  • Reusable scripts
  • Custom functions
  • Loops and other control structures
  • Loop alternatives
  • Functions to reduce typing
  • Printing objects after creating
  • with and within
  • Inserting multiple quotation marks
  • Create your own functions
  • Why write your own functions?
  • Basics of functions
  • What is a function?
  • Creating your own functions
  • Syntax for writing your own function
  • More complex functions
  • Ellipses and further arguments
  • Scope
  • Loading your functions
  • Loops and control structures in R
  • If and if else
  • Loops for loops
  • Saving results from a loop
  • Improving your code
  • While loops
  • Repeat loops
  • Loop alternatives
  • Functionals
  • apply functions
  • split
  • map functions
  • map variants
  • Returning a vector
  • walk
  • Loop, apply or map?
  • Tidyverse piping syntax
  • Purpose
  • Using the pipe
  • Pipe variants
  • The tee operator
  • The exposition operator
  • Plotting with ggplot2
  • The grammar of graphics
  • Required components
  • Using ggplot()
  • Scatterplot
  • Line chart
  • ggplot2 resources

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