
R for Data Science (2e)
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.
Data Science: R Basics | Harvard University
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 …
Learn the tidyverse
Learn R for Data Analysis by Locke Data. Attend this two day course to get hands-on with the R programming language. Learn how to connect to different data sources, wrangle the data into …
Data Science Tutorial with R - GeeksforGeeks
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 …
Data Science: Foundations using R | Coursera
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers foundational data science tools and techniques, including getting, …
R for Data Science - Bookdown
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.
Data Science with R - Online Duke
Master the essentials of data science with the Data Science with R Specialization. Designed for beginners and professionals, this series provides the foundational skills to transform, visualize, …
What is R? A Complete Guide to R Programming for Data Science …
2 days ago · Learn what R programming is, its features, and how it powers data science and AI. Explore key R libraries, use cases, and comparisons with Python.
Welcome | R for Data Science
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.
Data Science with R: Overview – datanovia
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 …