R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering etc.) and graphical techniques, and is highly extensible. It is available as free software.
DurationCourse Overview
R is a programming language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering etc.) and graphical techniques, and is highly extensible. It is available as free software.
Skills Required
No Prior knowledge of any programming language is required.
The London Academy of IT has been delivering practical oriented IT courses in London since 2012. Our courses emphasise on both practical work and exercises as we strongly believe the best approach to learn is by having interactive sessions. T
he Academy focuses on delivering high quality training courses to help build your knowledge as well as giving you competitive edge that employers love.
We offer competitive prices rivalling other training institutes without compromising on quality or satisfaction. The individual class size has no more than 7 people to ensure that you receive the best from your sessions. Our classes use a combination of technologies and methods when delivering courses.
Our training venue is situated in the heart of Stratford, just 5 minutes walk from Stratford Station.
Convenient training location
Affordable and competitive prices
Trainers with professional background
Small class sizes
Weekend, evening and daytime classes
R is a programming language and software environment that can be used for graphic representation, statistical analysis, and reporting.
It covers the most essential topics you must learn to begin programming with R. With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics.
Data analysis is crucial to accurately predict the performance of an application. The course begins by getting you started with R, including basic programming and data import, data visualization, pivoting, merging, aggregating, and joins.
This R Programming course aims to give delegates the knowledge to use effective programming principles and to write code in R. R is a powerful statistical language.
This course is aimed at those who want to incorporate R into their data analysis and business intelligence, particularly to replace existing Excel-based workflows.
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