IT R for Data Analysis

Course Code: INT2RPG

Duration

2 Day(s)

Course Type

Public or Private

Max Delegates

Delivery Style

Classroom

Home » R for Data Analysis

Master the basics of data analysis using the R Language

R is the common language of data science and has long been popular among data scientists. It is highly extensible and provides a wide variety of statistical, machine learning methods and predictive modelling techniques. Recently due to a focus on data, reporting and big data, R is becoming more common place and this introductory course will teach you the basics to start you off on your R journey.

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Who is this course for

Anyone wishing to learn more about R. A background in programming will be helpful but by no means essential.

Purpose of the course

Aimed at beginners this R course is intended to introduce the basics of the R language, but quickly moves on to cover all the key concepts you will need to master it.

You will learn how to

Get started with R and RStudio.
Wrangle messy data into shape.
Perform Exploratory Data Analysis (EDA) using R.
Create R Notebooks.
Start using the power of R for your own needs.

Prerequisites

None. Although a programming or data analysis background will be helpful.

Benefits for you as an individual

R, once the language of data scientists is becoming far more main stream; or has our changing business world meant we are all becoming data scientists? Regardless, R is here to stay and knowing how to leverage it's capability is essential.

Benefits for your organisation

R can deliver huge benefits to your organisation through its reporting & integration capabilities. All you need are highly trained staff to be able to harness those capabilities.

Introduction to R and RStudio

Alternatives to R for Data Science
Compiled vs Interpreted
REPLs
R IDEs
RStudio
R PAckages
Updating R
Turtle Graphics
A Worked Example

Basic Data Input

Sydney Beaches Dataset
Tidyverse and here Packages

Data Wrangling

Clean Up Your Column Names
Exploring the Rows
Comparing Councils

Visualising Data

Time Series Plots
Extracting the Date
Compare Beaches
Flip the Axes
Add Colour
Display a Third Variable
Facet Wrapping
Filter to Omit Outliers
Saving Your Plots

Box, Violin and Pair Plots

The Iris Dataset
Data Distributions
Box Plots
Violin Plots
Analyse the Data

Log Transform

Box Plots of Beach Data
Violin Plots of Beaches Data

Notebooks and Markdown

Notebooks
Markdown
R Notebooks
The RStudio Notebook Template
An Iris Notebook

Interactive Documents

HtmlWidgets
Other Languages
Reproducible Notebooks
Share and Publish
Are Scientific Pages Dead?

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