Data Science in Education Using R

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: 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?

Data Science in Education Using R is also available as an open source book.

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.

Ryan Estrellado is a writer, educator, and data scientist. Ryan tells inspiring stories about the reality of education work, ranging from overcoming a fear of data to finding a creative practice in the workplace. He has over twenty years of experience in public education. Ryan lives with his family in San Diego, CA.

Praise for Data Science in Education Using R

  • "The authors have provided the definitive guide to the topic. The combination of theory and hands-on practical tutorials make this an invaluable resource for the growing fields of learning analytics and educational data science."

    Mark Warschauer, Professor of Education and Informatics at the University of California, Irvine

  • "The effective data analysis content would benefit almost anyone getting started with data today, but these authors' thoughtful, focused handling of the specific issues involved in working with education data sets it apart from most introductory data science books."

    Julia Silge, Software Engineer at RStudio

  • "It will be the go to resource for the next generation of data driven education professionals. And is a beautiful exposition of how to responsibly work with data from the real, messy, world."

    Dustin Tingley, Deputy Vice Provost for Advances in Learning at Harvard University

  • "The book provides both practical guidance through worked examples and discussions of relevant theory and past research. That the book is written by authors who have varied research and practice positions lends itself to its broad-ranging appeal."

    Teomara (Teya) Rutherford, Assistant Professor of Learning Sciences, University of Delaware

  • "If you are a teacher, an administrator, or an educational researcher who's looking for a theory-informed, practice-oriented, and equity-minded introduction to educational data science, no need to look further than this book. It will help you unleash your data science 'superpower,' turbocharge your practice, and make real-world changes in your organization."

    Bodong Chen, Associate Professor and Co-Director of Learning Informatics Lab at the University of Minnesota