Data Science in Education Using R

by Ryan A. Estrellado, Jesse Mostipak, Joshua M. Rosenberg

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.

284 pages, Hardcover

Published October 27, 2020

Reviews

[Matt · Rating 5 out of 5]

Who is Data Science in Education Using R for? I think if you have an interest in any of the words in that title, you'll find value in this book. At fewer than 300 pages, it is concise enough to be consumed in a long weekend, but packed with information that will serve the reader long after finishing it.

For the newer R user, the book can be read start to finish, offering a gentle introduction to the language that ramps up the learning in a way that walks you through each step. For those with more experience with R, you can also jump into specific chapters of interest, or simply work through the walkthroughs.

One the amazing things that Data Science in Education Using R offers is its breadth. This book is a self-contained reference for everything from data wrangling, to text analysis, to linear models, to machine learning. Along the way it explains concepts in a way that is easy to comprehend. I wish I'd had this book when I first started learning R, regardless of whether I worked in education or not!

[Evie Hodgkins · Rating 5 out of 5]

An excellent book that takes you through how to use educational data in data analysis. My only problem with this book (and it is entirely MY problem as I knew this was an American book when I purchased it) is that all the datasets used are American. It would have been helpful to the international audience if the authors could have included a few international sources in the Additional Resources chapter.

[Vikas Phatak · Rating 4 out of 5]

Very engaging.