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Learn Data Science with R Programming

Learn Data Science with R Programming
Data Science with R training course has been designed after consulting some
of the best professionals in the industry and the faculties teaching at the best
of the universities. The reason we have done this is because we wanted to
embed the topics and techniques which are practiced in the industry, conduct
them with the help of pedagogy which is followed across universities – kind
of practical data science with R implementation. In doing so, we prepare our
learners to learn data science with R programming in a more industry/job
ready fashion. IgmGuru’s Data Science with R certification course is the
gateway towards your Data Science career.
You would invariably find a lot of ways to learn R programming for data science
from the courses floating in the market. But what is it that makes this course
stand apart from the rest. I will give you certain points about this course and
its features which will help you decide.
Welcome to R programming. R is an open-source programming language used
for statistical computing and graphics supported by the R Foundation for
Statistical Computing. The R language is widely used among statisticians and
data miners for developing statistical software and data analysis. R and its
libraries are used for implementing statistical and graphical techniques,
including linear and nonlinear modeling, classical statistical tests, time-series
analysis, classification, clustering, and others. R is easily extensible through
functions and extensions, and the R community is noted for its active
contributions in terms of packages
Data Science with R certification course has been designed keeping in mind
about learners who have zero to some level of exposure to R. Any ideal session
in this course would dedicate a good amount of time understanding the
theoretical part after which we will be moving on to the application of
theoretical concepts by doing hands-on these statistical techniques. You would
be provided with a lot of data set to practice and implement statistical
techniques during the session and also to practice later on in the form of selfstudy which will help you in your journey to learn data science with R
The three main pillars to learn data science with R programming are
1. Application of mathematical and statistical concepts
2. Expressing them using a programming language or a tool/platform
3. Particular business domain