R Programming

With growing demand for data science skills as a value addition to the multi-disciplinary technical expertise, Programming in R has evolved to be an essential armour for a promising career graph globally. CRAN R is a free open-source programming language and software environment for statistical analysis, graphics representation and reporting. With increased relevance for data science and machine learning paradigms, R is among the top 10 popular programming languages for data science globally. The course offers an exciting opportunity for a novice to begin programming in R and learning how to use R for effective data analysis.

Learning Outcomes

  • Learn how to Import, manipulate and summarize datasets using R.
  • Perform exploratory analysis using R.
  • Illustrate predictive modelling, clustering and classification algorithms using R.

Course Content

Installation and configuration of software necessary for a statistical programming environment, essentials of generic programming language, statistical computing elements including programming in R, reading data, accessing R packages, writing R functions and exploratory data analysis; Predictive modelling, clustering and classification algorithms in R

Name of the Coordinators

Prof Dr Asha Kamath
Dr Vani Lakshmi R

Distinctive Features

  • Presents a comprehensive exploration of programming possibilities in R.
  • Requires no prior experience in R programming.
  • Caters to the industry demands and serves as an enabler for further learning

Offered by

Department of Data Science, Prasanna School of Public Health, MAHE
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