Data Science with R for Absolute Beginners

R isn't just for statisticians anymore — and you don't need a stats degree to master it.

Data Science with R is Book 5 of the Data Science Foundations Series, a complete, practical introduction to data science using R — the language built specifically for statistical analysis and used daily by analysts, researchers, and data scientists worldwide.

Inside, you'll learn how to:

• Master core R and the tidyverse: dplyr, tidyr, and the pipe operator for clean, readable code
• Build publication-quality charts and visualizations with ggplot2
• Clean messy, real-world data: inconsistent text, missing values, and dates
• Perform statistical modeling and analysis directly in R
• Work confidently with data frames, factors, and R's own unique data structures
• Write reproducible reports and analyses with R Markdown
• Complete a full, real-world capstone project from raw data to a finished, written report

Why this book is different:

Many R tutorials assume you already think like a statistician. This book doesn't. Every concept is introduced with plain-English explanations and real, runnable code — building your R fluency one genuine skill at a time, exactly the way Book 4 of this series builds Python fluency. The final chapter brings everything together: a deliberately messy, realistic dataset cleaned, analyzed, and reported on using R Markdown, exactly the way real analysts work.

Perfect for absolute beginners to R, Python users adding a second language to their toolkit, students in academic or scientific fields, and anyone who wants to understand why R remains the language of choice in statistics, biostatistics, and academic research.

No prior R or programming experience required to follow this book from the very first page.

Datasets used throughout this book are available for free download at www.waskeypress.com.