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.
Course 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
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.
You will figure out how to introduce and arrange programming essential for a factual programming condition and depict conventional programming language ideas as they are executed in an elevated level measurable language
This training program will let you learn how to use variables, matrix, functions and other models of R programming required for Data Science. At advance level, you learn to use R programming language in collaboration of Machine learning algorithm for Data Science.
This course is an introduction to using the R software and language, suitable for those who have never encountered R before. No previous statistical knowledge is assumed but participants should be familiar with Microsoft Windows and Excel.
Our R trainer has many years of experience and has written a number of books on R. This course is very hands-on. This means that there is plenty of time to experiment with what you are being taught, try things out for yourself and ask questions.
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