All courses available in-class and remotely.

R language Nexacu

R Programming - Beginner Training Course

Learn how to use R for data analysis, instructor-led course.

All classes delivered remotely, for in-class sessions please call us.
R is a programming language specifically developed for the statistical analysis of data and for producing graphical output. We introduced the core elements of R programming in our R Basics course. This course, R Programming Beginner, is the second in our R series and focuses on:
  • data manipulation
  • basic exploratory data analysis
  • creating customised data visualisations
  • basic modelling 
Our experienced Data Analyst, will guide you through exercises to practice writing R code, use a variety of different functions, produce graphical output and view the results. Read the full outline here.

R Programming - Beginner Training Course

R language Nexacu
Data manipulation, basic exploratory data analysis, customised data visualisations and basic modelling in R.
$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

Frequently Asked Questions

Meet your Trainer

instructor tamara

Tamara Shatar holds a PhD in Agricultural Data Science. She has extensive experience, including many years working as a research scientist focused on data analysis, modelling using machine learning, simulation and other techniques. While working in both academia and at the CSIRO, part of her role included teaching a variety of data analysis skills. Tamara has designed our first Data Analytics Training Course, R Basics, to provide beginners with the fundamental tools necessary to start using R for data analysis. She is consistently well reviewed by her students. 

"Great trainer, structure, material and manual. I have completed programming courses before but this one just made more sense! I'm sure it was the trainer. Looking forward to the Intermediate course." - R Basics Sydney

What is R? 

R is an open source and free programming language that was developed for statistical analysis and production of high-quality graphics. It has long been popular with statisticians and academics who make up part of the large 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.  

Is R compatible with Microsoft?

Microsoft have recognized the power of R and offer not only their own enhanced distribution of R, Microsoft R Open, but the ability to use R within Microsoft products and services such as Power BI, SQL Server / SQL Server Machine Learning Services and Visual Studio. Microsoft have also developed several packages, including the Microsoft Machine Learning Package for R. Check out R scripts in Power BI.

What is Remote Training?

Remote training at Nexacu, means our team of experienced trainers will deliver your training virtually. With remote learning students can access our usual classroom training courses via video conferencing, ask questions, participate in discussion and share their screen with the trainer if they need help at any point in the course. 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 ( approx )
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 ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
L10
333 Adelaide Street
Brisbane QLD 4000
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
**Remote only due to relocation **
Level 3
37 Pitt Street
Sydney NSW 2000
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
**Remote only until Dec**
Level 3
79 George Street
Parramatta NSW 2150
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
**Remote only until Dec**
Level 3
466 Little Lonsdale St
Melbourne VIC 3000
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
**Remote only until Dec**
Ethos House
Level 1
28 Ainslie Place
Canberra ACT 2601
microsoft_gold

R Programming Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 3
97 Pirie Street
Adelaide SA 5000
microsoft_gold

R Programming Beginner Course Details

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

R Programming Course Outlines

  • R Intermediate
    $745
  • Machine Learning in R
    $745
  • R Programming Certification
  • Machine Learning in R Certification
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Course Rating
R Programming Training Courses

4.85 5 R Programming Training Courses
4.85 out of 5
68 Student Reviews

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What do I need to know to attend?

You should have attended our R Basics course and have a basic understanding of R syntax.

It is assumed that you are familiar with:

  • basic R syntax
  • data types and structures
  • know how to subset data
  • know how to install and use contributed packages and their functions
  • basic familiarity with working in RStudio is helpful.

R Programming Beginner Learning Outcomes

You will understand and be able to:

  • create and manipulate objects
  • use functions
  • work with relational data

  • perform basic exploratory data analysis
  • conduct basic modelling and prediction
  • find functions to perform specific tasks.

R Programming Beginner Course Content

  • Introduction
  • Review of R data types and structures
  • Review of common syntax for accessing data in data frames

 

  • Importing Data
  • Importing data in RStudio
  • Packages and functions to import data into R
  • Using code to import data
  • Importing data from text files (csv)
  • Importing data from Excel

 

  • Workflow in R
  • Creating reusable scripts

 

  • Manipulating Data
  • The tidyverse
  • Summarising data
  • Ordering data
  • Working with dates
  • Convert character to date
  • Extract years from dates
  • Extract months from dates
  • Extract days from dates

 

  • Manipulating Data (cont’d)
  • Extract days of the week from dates
  • Add columns to a data frame
  • Working with strings
  • Selecting and reordering columns in a data frame
  • Selecting rows based on values
  • Grouping data
  • Summarising data

 

  • Manipulating Data (cont’d)
  • Identifying blank values and non-number numbers
  • Working with data that contains missing values and non-number numbers
  • Removing missing values from a data set
  • Replacing values
  • Concatenate strings
  • Bin continuous variables into categories

 

  • Working with Relational Data
  • Add new variables to a data frame from another
  • Mutating joins and merge()
  • Filtering joins
  • Exporting data to a file

 

  • Basic Exploratory Data Analysis
  • Choosing the right chart for your goal
  • Choosing the right chart for your data
  • Univariate analysis of numeric variables
  • Univariate analysis of categorical variables

 

  • Basic Exploratory Data Analysis cont'd
  • Multivariate analysis of numeric variables
  • Multivariate analysis of numeric and categorical variables
  • Multivariate analysis of categorical variables

 

  • Univariate Analysis
  • Exploring the data distribution
  • Central tendency
  • Spread
  • Outliers
  • Shape of the distribution

 

  • Visual Representation of Distributions
  • Histograms
  • Boxplots
  • Dot charts / dot plots
  • Stem and leaf plots
  • Bar and column charts

 

  • Multivariate Analysis
  • Scatterplots and scatterplot matrix
  • Correlations
  • Bar and column charts
  • Line charts
  • Customising charts in R
  • Other graphics options

 

  • Basic Modelling
  • Modelling for prediction
  • Create a linear model
  • How good is the model?
  • Assumptions
  • Making predictions from the model

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