With the release of Data Science in Education Using R right around the corner, Emily, Isabella, Jesse, Josh and I have been sharing what readers can expect from the book.
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?
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.
I wrote a book with some really awesome people. Data Science in Education Using R is an open source book about learning R and data science in the education field. The print version is now available for pre-order and will be available from Routledge in October 2020.
I wrote a guest blog post as part of a series my co-authors and I are writing to explore the ideas in our book, Data Science in Education Using R.
I spent a recent morning at a virtual island concert celebrating the arrival of a dog folk guitarist named K.K. Slider. The concert is a milestone in the game Animal Crossing: New Horizons, which has become odd comfort to me and others during the COVID-19 stay-at-home orders.
This is part three of a three part series where I work with California School Dashboard data by cleaning, visualizaing, and exploring through modeling. You can read the first part of this series, which shows one way to clean and prepare the data, and the second part of the series, which shows a way to visualize the data .
This is part one of a three part series where I’ll be working with California School Dashboard data by cleaning, visualizaing, and exploring through modeling.
Introduction: It’s Ok to Skip Around I’m writing this series for data scientists, public school educators, and data scientists who are also public school educators.
Note: I include a lot of code in this post so my fellow data scientists can either learn from it or give me feedback about how to make it better.
Using public school data can help school districts see the bigger picture of what is going on. So why don’t we see more districts taking advantage of this information gold mine?