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.
DurationContent
R is a statistical software package and statistical programming language, which provides a huge variety of tools for statistical analysis. It is the most widely used free statistical software in academia, and the most sought after statistical programming skill in industry.
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.
Topics include running calculations, handling data, organising instructions, calculation of summary statistics and producing graphics. Teaching is through guided computer practicals.
The main learning objective is a familiarity with R that will give course participants a platform from which to explore the wide range of functions provided by R.
Assessment
This is a non-credit bearing course and no assessment will be undertaken.
You will receive a Certificate of Attendance on completion of the course.
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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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