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 programming. 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