This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it and visualize.

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it.

This course will show you how you can use R to efficiently clean and wrangle your data into a format that’s ready for analysis. You will learn about the Tidyverse, what tidy data really is, and how to …

We’ll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll learn how to apply general programming features like “if-else,” …

Sep 9, 2025 · In this tutorial, we will explore how the data science process is implemented in an R console or R studio, covering essential concepts, tools and techniques commonly used in the field.

Use R to clean, analyze, and visualize data. Learn how to ask the right questions, obtain data, and perform reproducible research. Use GitHub to manage data science projects. Ask the right …

In this complete tutorial, we’ll walk through everything you need to know to start using R effectively for data science — from installation and setup, to data manipulation, visualization, statistical analysis in …

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it.

The goal of “R for Data Science” is to help you learn the most important tools in R that will allow you to do data science. After reading this book, you’ll have the tools to tackle a wide variety of data science …

Explore the world of data science in R through essential topics including data wrangling with dplyr, data visualization with ggplot2, and statistical modeling with lm () and glm (). This overview serves as a …