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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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.
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.
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.
Data Science is an arena of reconstructing unstructured data to a structured model and confer it into knowledge.
R is a programming language and software environment that can be used for graphic representation, statistical analysis, and reporting.
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