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Course Discription |
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This course introduces R tool to turn facts and data into useful information. R tool is one the most common statistical tools currently used in data science and statistical learning. It is a collection of packages designed to work together to make data science fast, fluent, and fun. This course covers introduction and preliminaries in R environment, simple manipulations; numbers and vectors, objects, their modes and attributes, ordered and unordered factors, arrays and matrices, lists and data frames, reading data from files, probability distributions, grouping, loops and conditional execution, user-defined functions, statistical models in R, graphical procedures, packages, OS facilities. Students of this course should work on projects and practical assignments as they represent a significant part of this course. |