Data Science: R Basics

Chapters

1Getting Started with R and RStudio

What is R and where it fits Installing R Installing RStudio Touring RStudio interface Setting working directory Using the Console and Script editor Running code and sourcing scripts R help and documentation Installing packages from CRAN Updating R and packages Using RStudio projects Keyboard shortcuts essentials Using the Environment and History panes Managing options and .Rprofile Finding and using vignettes

2R Language Fundamentals

3Data Types and Structures

4Vectors and Factors

5Matrices, Arrays, and Lists

6Data Frames and Tibbles

7Importing, Exporting, and Reading Data

8Data Cleaning and Transformation with dplyr

9Reshaping Data with tidyr

10Working with Dates, Strings, and Categories

11Exploratory Data Analysis and Visualization with ggplot2

12Control Flow, Functions, and Apply Family

13Reproducibility, Projects, and Packages

14Basics of Statistical Modeling in R

15Working with Larger Data and Performance

Courses/Data Science: R Basics/Getting Started with R and RStudio

Getting Started with R and RStudio

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Install tools, navigate RStudio, manage projects, and learn how to run and organize R code.

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Updating R and packages

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