Description:
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? If you're just getting started with R in an education job, this is the book you'll want with you.
Review Quotes:
"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
This book is a clear, compelling guide for real-world practitioners who are ready to use modern tools of data science in the education domain. 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 Posit Software, PBC
There are many resources for learning how to analyze education data. But what has long been missing is an inclusive and pedagogically refined resource on how to leverage modern data science principles, workflows, and tools. Data Science in Education using R fills this massive gap and more. 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