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.
DurationOverview
Do you get overwhelmed by complicated lingo and want a course that is easy to follow, detailed and presented to make the process enjoyable?
If so, our R Programming Introduction is the course for you!
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. What you are going to learn on this course is how to master the fundamentals of the open-source programming language which includes vectors, data frames and lists.
Prerequisites:
No prerequisites are required for this course
We have more than twenty five years experience of delivering high quality training courses, and our methods work for our clients and for ourselves. Our win-win philosophy adds real value to the organisations and people we train.
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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