Data Science: R Basics

Chapters

1Getting Started with R and RStudio

2R Language Fundamentals

Expressions and statements Objects and assignment operators Naming conventions Basic arithmetic and precedence Comparison and logical operators Vectorized operations Special values NA NaN Inf Coercion and type checking Sequence and repetition Indexing basics Recycling rules Comments and code style Getting and setting attributes Working directory and paths Saving and loading workspaces

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/R Language Fundamentals

R Language Fundamentals

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Master core syntax, operators, and rules that govern how R code executes and evaluates.

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Comments and code style

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