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Introduction to R

Beginner
4.8+
566 reviews
Updated 04/2025
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
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RProgramming4 hours62 Exercises6,200 XP2,878,386Statement of Accomplishment

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Course Description

Learn R Programming

R programming language is a useful tool for data scientists, analysts, and statisticians, especially those working in academic settings. R's ability to handle complex analyses such as machine learning, financial modeling, and more makes it a valuable asset for a wide range of data-related tasks.

This introduction to R course covers the basics of this open source language, including vectors, factors, lists, and data frames. You’ll gain useful coding skills and be ready to start your own data analysis in R.

Gain an Introduction to R

You’ll get started with basic operations, like using the console as a calculator and understanding basic data types in R. Once you’ve had a chance to practice, you’ll move on to creating vectors and try out your new R skills on a data set based on betting in Las Vegas.

Next, you’ll learn how to work with matrices in R, learning how to create them, and perform calculations with them. You’ll also examine how R uses factors to store categorical data. Finally, you’ll explore how to work with R data frames and lists.

Master the R Basics for Data Analysis

By the time you’ve completed our Introduction to R course, you’ll be able to use R for your own data analysis. These sought-after skills can help you progress in your career and set you up for further learning. This course is part of several tracks, including Data Analyst with R, Data Scientist with R, and R Programming, all of which can help you develop your knowledge.

Prerequisites

There are no prerequisites for this course
1

Intro to basics

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3

Matrices

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5

Data frames

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Introduction to R
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*4.8
from 566 reviews
85%
14%
2%
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  • SATYAM
    2 minutes

    very nice course if you want learn big data

  • SUDHEER
    about 2 hours

    good

  • Qinya
    about 8 hours

  • AKARSH
    about 8 hours

    NA

  • MOHAMMAD
    about 8 hours

    good

  • YASH
    about 8 hours

"very nice course if you want learn big data"

SATYAM

"good"

SUDHEER

Qinya

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