R Programming course

R programming is a large scale catalog of statistical and graphical methods. It contains machine learning algorithms, linear regression, time series, statistical inference to name a few.
R is a free software environment for statistical calculation and graphics help by the R Programming for Statistical Calculation. The R language is used hugely among statisticians and data miners for developing statistical software and data analysis.
R programming is easily adaptable through functions and addition, Another strength of R is static graphics, which can produce publication-quality graphs, including mathematical symbols. Dynamic and associative graphics are available through supported packages. R programming has a stronger OOP provision than most statistical calculation languages. Extending R is also eased by its lexical scoping rules.


BE Comp,IT,Diploma students,B.sc IT,BCA,MCA,BCS,MCS

Course Syllabus

Module 1

  • R and Rstudio set-up

  • R types, vectors and writing functions

  • More R types, vectorization and efficient R code

  • Importing data, time series data and Google Trends

  • A data science project – a first look

Module 2

  • Data manipulation with tidyr

  • Plotting with ggplot2

  • R style guide, git integration, projects in RStudio

  • Maps, plots and Amazon’s choice for a next office building

  • A data science project – more advanced

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