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LinkedIn Learning

R for Data Science: Analysis and Visualization

via LinkedIn Learning

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Overview

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Learn the basics of R, the free, open-source language for data science. Discover how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.

Syllabus

Introduction
  • R for data science
  • Using the exercise files
1. What Is R?
  • R in context
  • A note about AI in R
2. Getting Started
  • Installing 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

Taught by

Barton Poulson

Reviews

4.7 rating at LinkedIn Learning based on 2716 ratings

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