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Learning R 

  • Offered byLinkedin Learning

Learning R
 at 
Linkedin Learning 
Overview

Learn the basics of R and get started finding insights from your own data, in this course with professor and data scientist Barton Poulson

Duration

3 hours

Total fee

899

Mode of learning

Online

Difficulty level

Beginner

Credential

Certificate

Learning R
 at 
Linkedin Learning 
Highlights

  • Earn a certificate upon completion
Details Icon

Learning R
 at 
Linkedin Learning 
Course details

More about this course
  • The lessons explain how to get started with R, including installing R, RStudio, and code packages that extend R’s power
  • You also see first-hand how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis
  • By the end of the course, you’ll have a thorough introduction to the power and flexibility of R, and understand how to leverage this tool to explore and analyze a wide variety of data

Learning R
 at 
Linkedin Learning 
Curriculum

Introduction

R for data science

Using the exercise files

1. What Is R?

R in context

2. Getting Started

Installing R

Environments for R

Installing RStudio

Navigating the RStudio environment

Entering data

Data types and structures

Comments and headers

Packages for R

The tidyverse

Piping commands with

Sample datasets

Importing data from a spreadsheet

3. Data Visualization

Using colors in R

Creating bar charts

Creating histograms

Creating box plots

Creating scatterplots

Creating line charts

Creating cluster charts

4. Data Wrangling

Selecting cases and subgroups

Recoding variables

Computing new variables

5. Data Analysis

Computing frequencies

Computing descriptives

Computing correlations

Computing a linear regression

Computing contingency tables

Conclusion

Next steps

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