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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?

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.

1136964030
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?

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.

58.99 In Stock
Data Science in Education Using R

Data Science in Education Using R

Data Science in Education Using R

Data Science in Education Using R

Overview

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.

Product Details

ISBN-13: 9780367422257
Publisher: Taylor & Francis
Publication date: 10/27/2020
Pages: 304
Product dimensions: 6.88(w) x 9.69(h) x (d)

About the Author

Ryan A. Estrellado has served public schools for over seventeen years as a school psychologist and administrator. Ryan writes about working with data, education and other projects at https://ryanestrellado.com.

Emily A. Freer is the Director of Educational Development and Assessment at the Marquette University School of Dentistry. Learn more about Emily at https://emilyfreer.com.

Jesse Mostipak is the Community Advocate for Kaggle, and has worked both as a high school science teacher and lead data scientist within education non-profits. To follow Jesse’s learning adventures in Python and deep learning, head over to https://jessemaegan.com.

Joshua M. Rosenberg is an Assistant Professor of STEM Education at the University of Tennessee, Knoxville. Follow Josh’s work at http://joshuamrosenberg.com.

Isabella C. Velásquez is a data analyst committed to nonprofit work with the goal of reducing racial and socioeconomic inequities. To follow Isabella’s personal projects, join her at https://ivelasq.rbind.io.

Table of Contents

Acknowledgments ix

Preface xi

1 Introduction: Data science in education-you're invited to the party! 1

2 How to use this book 5

3 What does data science in education look like? 13

4 Special considerations 21

5 Getting started with R and RStudio 27

6 Foundational skills 39

7 Walkthrough 1: The education data science pipeline with online science class data 61

8 Walkthrough 2: Approaching gradebook data from a data science perspective 93

9 Walkthrough 3: Using school-level aggregate data to illuminate educational inequities 109

10 Walkthrough 4: Longitudinal analysis with federal students with disabilities data 127

11 Walkthrough 5: Text analysis with social media data 163

12 Walkthrough 6: Exploring relationships using social network analysis with social media data 179

13 Walkthrough 7: The role (and usefulness) of multilevel models 191

14 Walkthrough 8: Predicting students' final grades using machine learning methods with online course data 205

15 Introducing data science tools to your education job 229

16 Teaching data science 241

17 Learning more 251

18 Additional resources 257

19 Conclusion: Where to next? 263

Appendices 269

References 281

Index 289

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