R Programming
R programming certification training covers data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. You will learn about R packages, how to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting.
Benefits
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Course Curriculum
Any person who is interested in building a career in Data Science can opt for this course as a starting step.
There are no prerequisites for this course. Any person can join this course.
CH -01 An Introduction to R · History of S and R · Introduction to R · The R environment · What is Statistical Programming? · Why use a command line? · Your first R session
CH -02-Introduction to the R language · Starting and quitting R · Recording your work · Basic features of R · Calculating with R · Named storage · Functions · Exact or approximate? · R is case-sensitive · Listing the objects in the workspace · Vectors · Extracting elements from vectors · Vector arithmetic · Simple patterned vectors · Missing values and other special values · Character vectors · Factors · More on extracting elements from vectors · Matrices and arrays · Data frames · Dates and times · Built-in functions and online help · Built-in examples · Finding help when you don’t know the function name · Built-in graphics functions · Additional elementary built-in functions · Logical vectors and relational operators · Boolean Algebra · Logical Operations in R · Data Input & Output · Changing Directives · Dump() & Source() · Redirecting R Output · Saving & retrieving Image Files · Data Frames and the Read.table functions
| CH -03 Programming statistical graphics
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