Introduction to R with data pre-processing and visualisation

Date:

07/09/2016

Organised by:

University of Leeds

Presenter:

Dr Richard Hodgett and Dr Conor McDonald

Level:

Entry (no or almost no prior knowledge)

Contact:

Eleri Pound e.a.pound@leeds.ac.uk

Map:

View in Google Maps  (LS2 9JT)

Venue:

Clarendon Way

Description:

This course aims to provide you with an introduction to the analytical programming language R. The course will focus on data pre-processing and visualisation, two of the key steps in understanding and generating insights from data. During the course you will learn about the benefits or R, how R handles different data types and how you can begin to use R to solve complex data science, machine learning and statistical problems. Specifically, you will work with R and its various packages to import, clean, manipulate and visualise real world data. The course assumes no knowledge of R or statistics.

Programme objectives

o    To familiarise attendees with R, including the RStudio integrated development environment.

o    To learn more about the broader R ecosystem – i.e. packages that extend the functionality of ‘base R’.

o    To introduce R’s syntax and a variety of primary functions.

o    To learn how to tidy and manipulate data using R.

o    To learn how to utilise data visualisations to communicate your results.

Cost:

£30 – Studnets
£50 – University, public and charitable sector staff
£150 – All others

Website and registration:

Region:

Yorkshire and Humberside

Keywords:

R, Data Visualisation, data pre-processing

Related publications and presentations:

R
Data Visualisation

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