Data, Analytics & AI Category Banner Image

R Programming for Data Analysis - Beginner

  • Length 1 day
Course overview
View dates &
book now

Why study this course

R is a programming language specifically developed for the statistical analysis of data 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 this Beginner course and the Intermediate course together where possible. You will learn how to apply a variety of techniques on the Intermediate course. Learn the key concepts required to get you started using R scripts.

Nexacu Public Schedule

With Lumify Group's acquisition of Nexacu, we're pleased to now offer you the largest public schedule of end user applications training in Australia and New Zealand. As we move to consolidate our End User offering with Nexacu, as an interim measure you can now access the schedule of the most closely aligned courses and book, by clicking on the link below.

Nexacu powered by Lumify - master logo

Request Course Information


What you’ll learn

After completing this course, students will be able to:

  • Use functions

  • Create basic data visualisations

  • Use R data types and objects

  • Write basic syntax

  • Create and manipulate objects


R Programming logo PNG

R Programming at Lumify Work

Learn R programming to analyse, manipulate, and visualise data more effectively.


Course subjects

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 plot


Prerequisites


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


Request Course Information

Personalise your schedule with Lumify USchedule

Interested in a course that we have not yet scheduled? Get in touch, and ask for your preferred date and time. We can work together to make it happen.