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Basics of R Programming Language for Buddies
Rating: 4.1 out of 5(89 ratings)
386 students

Basics of R Programming Language for Buddies

A fun and beginner-friendly introduction to R programming with data frames, statistics, and graphs
Last updated 3/2018
English

What you'll learn

  • know about Basics of R language
  • The students are able to work with Vectors,Lists, Matrices, Data frames,Basics of statistics,Basic Graphs.

Course content

5 sections28 lectures2h 19m total length
  • Introduction2:17
  • Introduction to Big Data3:32

    Introduce big data and its volume, velocity, and variety, and how data storage evolved. Learn big data via R programming, with Hadoop as an alternative path.

  • Introduction to R4:20

    Learn how R serves as a statistical and graphical oriented, open-source scripting language with platform independence, extensive graphics, easy data import export, line by line execution, and RStudio help.

  • Installation of R1:26
  • R studio overview5:02
  • Basics of R9:20
  • Quiz on Basics

Requirements

  • You should able to use computer, should have known any basic computer language prior to this.

Description

This course is designed for absolute beginners who want to learn the R programming language in a simple, enjoyable, and practical way. If you are new to programming or curious about R and want to learn without feeling overwhelmed, this course is perfect for you.

We start from the very basics and gradually build your understanding using easy explanations and real examples. You will first learn how to install R, understand the R environment, and write your first R programs. Step by step, you will explore data types, data frames, and basic data management, which form the foundation of R programming.

The course also introduces flow control concepts such as conditions and loops, helping you understand how programs work logically. You will learn how to create basic graphs and visualizations to represent data clearly and meaningfully. In addition, the course covers basic statistical concepts, making it easier to analyze and interpret data using R.

This course has been carefully developed with the support of a young and enthusiastic research team, focusing on clarity and hands-on learning. By the end of the course, you will be confident in using R for basic programming, data handling, statistics, and visualization and ready to explore more advanced topics in the future.

Who this course is for:

  • Learners who want to know about emerging R language.