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.

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,” …

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 …

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.

This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research.

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.

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 …

As you tackle more data science projects with R, you’ll learn new packages and new ways of thinking about data. We’ll use many packages from outside the tidyverse in this book.

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 …