Learn Data Science with R Programming

Welcome to R programming. R training 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 self-study which will help you in your journey to learn data science with R programming.