Data Science With R for Absolute Beginners: Tidyverse, ggplot2, and Statistical Modeling in R

By Garrett Hawthorne

"I don't know R" shouldn't be the thing standing between you and your research, your job, or your degree. This book fixes that.

Most R books are written for statisticians who already think in formulas and matrix notation, opening with terms like "vectorized operation" before showing a single real, runnable line of code. Data Science with R takes the opposite approach: every concept is introduced because you'll actually use it, illustrated with real, working code that produces a genuine result you can see immediately.

This is a true data science book built around R as it's actually used in 2026 - the tidyverse, ggplot2, and real statistical modeling - not an abstract statistics textbook that happens to use R as its calculator.

What You'll Actually Learn
R fundamentals - vectors, data types, control flow, and functionsData frames, R's core data structure, in genuine depthData cleaning with dplyr and reshaping with tidyrString manipulation and working with datesData visualization with ggplot2 - two full chapters, building real skill, not just syntaxDescriptive statistics, probability distributions, and hypothesis testingLinear regression modeling in RR Markdown for genuine, shareable, professional reportingA complete capstone - a real R data analysis project, start to finish

Why This Book Is Different
No prior R experience assumed - if you can build a spreadsheet formula, you can start here.Genuinely for beginners at statistics too - Chapters 12 through 14 teach modeling at a true beginner level, not a graduate-statistics one.Pairs naturally with Python if you already know it - understand precisely where and why a real team reaches for R over Python.Full exercise solutions across every chapter.
Who This Book Is For

Written for complete beginners to R - researchers, public health and economics professionals, social scientists, and students in fields where R is the assigned or expected standard. You're exactly the right reader if every R resource you've tried jumped straight into statistical theory without showing you why it matters, if you want to understand the models and charts in research papers instead of treating them as a black box, or if you already know Python and want a genuine second tool in your kit.

This book is not written for readers already fluent in R looking for an advanced statistical reference - it's a genuine, patient, complete on-ramp.

What You'll Be Able to Do

By the final page, you'll confidently import and clean real data, build publication-quality visualizations with ggplot2, run and interpret hypothesis tests, fit a linear regression model, and produce a polished, shareable analysis report - entirely in R.

Scroll up and start your R journey today.

• Format: Paperback
• Language: English
• ISBN: B0H7QLPRPT
• ISBN13: 9798185777008
• Release Date: July 2026
• Publisher: Independently Published
• Length: 236 Pages
• Weight: 0.92 lbs.
• Dimensions: 0.5" x 7.0" x 10.0"