22107 An Introduction to R Programming

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About Course

Welcome to the world of Statistical Programming. R Software is a Statistical Software which plays an important key role in statistical computing. R provides  an  environment  in  which  you  can perform statistical analysis and produce high quality graphics.

In this short course, the participants will learn to explore R programming skills using statistical functions and visualization methods of R language. The participants will  also  learn the fundamental programming concepts,  fundamentals of  R  Syntax,  basics  of  R  including  assigning  variables,  simple  mathematical operations  with  one  of  R’s  most  important data structures- vectors. From vectors, the participants will learn  about  factors,  arrays,  lists,  matrices,  data  frames  and  then  also  learn   about   correlation   and regression.  Finally  the  participants  will  learn  how  to  create  data  visualizations  to  showcase  insights in data. The aspirants need not have any programming knowledge to enroll for this course.

This course is offered by the Department of Statistics, St Aloysius College (Autonomous), Mangaluru and the course will begin on June 15th, 2020.

Course Coordinator: Ms. Sonal Caren D’souza

Instructors: Ms. Sonal Caren D’souza & Ms. Anvitha Jain

 

 

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What Will You Learn?

  • You will learn how to install and configure R Software.
  • You will learn the basics of R Syntax.
  • You will develop an understanding of how to program in R.
  • You will learn how to import new function packages.
  • You will learn to review and summarize data sets in R.
  • You will learn to create and edit visualizations to showcase insights in data using R.

Course Content

An Introduction to R and R Studio

  • 1.1. Installation of R and R Studio
    14:37
  • 1.2 R Studio Session Management
    23:47
  • 1.3 Arithmetic & Relational Operators
    08:48
  • 1.4 Logical & Assignment Operators
    34:56
  • 1.5 Built in Functions in R- Numeric & Statistical functions
    14:28
  • 1.6 Built in Functions in R- Other Functions
    10:45

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