Fundamentals of R Programming

Name: Fundamentals of R Programming
Rating: 3.5 (4 reviews)

Fundamentals of R Programming : This is a complete course on R for beginners and covers the basics of R Programming

Last updated 4/2021

English

What you'll learn

6 sections • 12 lectures • 2h 17m total length

Introduction2:35
Introduction to the fundamentals of R programming, outlining aims and objectives, ethical standards, how to set up a development environment, and how to use basic functions to start coding.

Data Structures in R3:50
Explore data structures in R to organize data, visualize metrics across initiatives, and understand how identities shape data.
Vector12:22
Explore vectors in R by working with one-dimensional vectors, indexing elements, and using range and sequence operations to manipulate numeric and character data.
List12:17
Explore lists in R: create heterogeneous elements with list(), access by position, name elements with names(), and add or remove items while checking length.
Matrix15:34
Explore matrices in R programming by examining their elements, rows, and columns, and learn how to perform and modify matrix operations using standard methods.
Data Frame16:36
Analyze data frame concepts in R programming by inspecting column consistency, length of elements, and end-user defined variables, then expand data by adding columns and rules.
Factor19:03
Explore how to create and manipulate factors in R, focusing on levels and unique values. Learn to label levels, convert vectors to factors, and distinguish ordered from unordered factors.
Array8:20
Explore the fundamentals of arrays in r, including creating matrices, handling vectors, naming elements, and performing row and column operations across varying lengths and dimensions.

R is a widely used statistical programming language that’s beloved by users in academia and industry.

R works well with data, making it a great language for anyone interested in data analysis, data visualization, and data science.

It is a popular language used by data scientists and researchers. If you are working with data, R is a fantastic language to learn.

This is a complete course on R for beginners and covers the basics of R Programming language.

This course aims to provide a practical introduction to the R programming language.

This is a hands-on course.

Participants can write R code as a script.

This course introduces students to the R statistical programming environment.

The course is given in English.

Following are the course contents:

What is R Programming Language and Why to learn R Programming Language?
How to install R and RStudio?
Basics of R Programming
Data Structures in R: Vector, List, Matrix, Data Frame, Factor, Array
Control Structures in R: If, If-else, for loop, while loop, Statements: repeat, next, return, break

At the end of this course, the learner will be able to:

Students who are pursuing professional graduate/post-graduate courses in Data and statistical analysis
Teachers/faculties who want to acquire new skill of data analysis
IT professionals from the data analysis industry