23112_An Introduction to R Programming

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About Course

Welcome to the world of Statistical Programming. R Software is a Statistical Software that 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 the 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 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 to this course.

This course is offered by the Department of Statistics, St Aloysius College (Autonomous), Mangaluru, and the course will begin on 23-10-2023.

Duration of the course: 3 Months

Release days of the videos/ Quiz/Assignments: Every Monday, Wednesday & Thursday

Instructors: Ms Sonal Caren Dsouza 9880754538 , Ms Anvitha Jain 8762534646

Mail id: [email protected]

Link to join WhatsApp group:  https://chat.whatsapp.com/EkMlAUanaKRHPGpiZ56Glq 


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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.

Course Content

Unit I: Introduction to R & R Studio

  • 1.1 Installation of R & R Studio
  • 1.2 R Studio Session Management
  • 1.3 Arithmetic & Relational Operators
  • 1.4 Logical & Assignment Operators
  • 1.5 Built in Functions in R- Numeric & Statistical functions
  • 1.6 Built in Functions in R- Other Functions
  • Operators in R-Pdf
  • Built in Functions in R-Pdf
  • Quiz 1

Unit II: Data Types in R

Unit III: Correlation & Regression Analysis

Unit IV: Visualization Techniques using R

Final Quiz

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