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An introduction to R; a mathematical and statistical modelling language used extensively in data analysis and Big Data.

This 3-day course is designed for anyone planning to work with larger Big Data solutions or Machine Learning, or for those studying a vendor specific path, such as Microsoft SQL Server.

By attending this course you will learn how to write programmes using R to create effective statistical outputs and to visualize data using R’s library.

Target Audience

Aimed at all who wish to learn the R programming language.

No prior knowledge of R is assumed
Delegates should already be familiar with basic programming concepts such as variables, scope and functions
Experience of another scripting language such as Python or Perl would be an advantage

At the end of this course attendees will know:

Fundamentals of R programming language
R data types, containers, arrays, flow control and functions
R text manipulation
R visualisation packages
How to perform data exploration and analysis with R

At the end of this course attendees will be able to:

Write R programs for manipulating and analysing data
Plot graphs from data sets

Overview of R

An introduction to the R programming language
History and capabilities
Development environments
Assignment
Tips

Data: Datatypes and Arithmetic

An introduction to most common data types in base R
Simple types
Composite types
Arithmetic
Data manipulation

Containers

A more detailed look at the most common data types in base R
Lists, Vectors, Factors, Data Frames
Converting data types

Higher Dimensions

A more detailed look at the most common data types in base R
Matrices and Arrays
Representing 3 or more dimensions

Databases and IO

A more detailed look at how to read and write to permanent storage from R
Various File Types
Databases

Flow

A more detailed look at how to control decision making in R for later automation:
Selection
Iteration

Functions

An overview of how to create functions in R
How to call functions
The use of variadicity in R
Design principles for programmers

Text

An overview of the functions available in stringr for manipulating text.
A brief introduction to regex.
Functions for pattern matching and text manipulation

Plotting and Packages

Plotting in base R
An overview of the community approved packages: Tidyverse
Syntax differences
Overview of packages for Data Import, Transforming and Cleaning
Overview of packages for report creation and dashboarding
Overview of packages for Big Data handing and AI
Extra: Practical use of ggplot2, ggplotly

Upcoming Trainings

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom

25 May 2024