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.
DurationOur 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.
By the time you finish, you’ll be comfortable using a wide range of R’s core features.
What Will I Learn
You will have learned:
Acuity Training is a multi award-winning training business offering in-person and online courses. We have won the Feefo gold award for customer satisfaction every year since 2013 – 10 years and counting. We were founded in 2002 by a trainer frustrated with large, slow-moving classes.
We provide training courses for popular business software including Microsoft (Excel, Power BI, Project etc), Adobe, AutoCAD and SQL, and soft skills and management training (team leader, line management, time management etc).
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.
Data Science is an arena of reconstructing unstructured data to a structured model and confer it into knowledge.
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.
R is a programming language and software environment that can be used for graphic representation, statistical analysis, and reporting.
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