Data Science in Education Using R 1st Edition

This book was a great starting point for someone working in education (K-12 or Higher Ed.). The authors present real-world scenarios that data scientists will encounter working for academic institutions. The text is easy to follow along with, providing excellent coding examples and clear explanations of what the functions and outputs produced by said functions mean in "plain English".I would highly recommend this book, specifically for educators, but also for those interested in cleaning data, joining data sources, performing regression analysis, or wanting to look at an intro to machine learning.The references section at the back of the book is very helpful, also. Happy reading! :-)

Great book! I am a lecturer at the Stanford Graduate School of Education where I teach an introductory course to data science for education research. I assign a few chapters of this book in my course and the students enjoy it. It is very practical: My students get a great intuition of what data science in education looks like (what do they do?!) and get to see several interesting examples.

Why I recommend this book? Because this is contextualized within educational data mining and learning analytics. There have been many books teaching data science; however, it is hard to find a resource tailored for educators and learning scientists for data science. Furthermore, all the materials are available for free and fully reproducible on your local machine using R and RStudio. Why I like this book? Because this book walks through the nitty-gritty of data science very efficiently using the most popular and powerful R packages, based on Tidyverse principles. tried R. I believe novice R users will also find this book very easy-to-follow. I recommend reading this book along with "R for Data Science" was written by Hadley Wickham and Garrett Grolemund.