• Home /
  • Data Science in Education Using R (eBook)

Data Science in Education Using R (eBook)

Artikelnummer: 978-1-040-63235-2
Einband: Adobe Digital Editions
Verfügbarkeit: Noch nicht erschienen, Februar 2027
CHF 77.40

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.

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.

Schreiben Sie Ihre eigene Bewertung
  • Nur registrierte Benutzer können Produkte bewerten
*
*
Schlecht
Sehr gut
*
*
*
*
VerlagTaylor & Francis Ebooks
EinbandAdobe Digital Editions
Erscheinungsjahr2027
Seitenangabe280 S.
AusgabekennzeichenEnglisch
Abbildungen44 farbige Abbildungen, 44 farbige Fotos, 7 schwarz-weiße Tabellen
Auflage27002 A. 2. Auflage
PlattformEPUB
AutorEstrellado, Ryan A. / Freer, Emily A. / Rosenberg, Joshua M. / Velásquez, Isabella C.

Über den Autor Ryan A. Estrellado

Ryan Estrellado is a writer and educator. He is the author of the book The K-12 Educator's Data Guidebook: Reimagining Practical Data Use in Schools and a co-author of Data Science in Education Using R. 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.Emily Freer, PhD, is a researcher who explores who people learn, grow, and navigate complex systems. She currently leads human-centered research at Froedtert ThedaCare Health, where she works to improve patient experiences and drive organizational change.Joshua M. Rosenberg (PhD, Michigan State University) is Haslam Family Professor and Associate Professor of STEM (data science) education in the Department of Theory and Practice in Teacher Education at the University of Tennessee, Knoxville. He is also Co-Director of the AI, Data, and Educational Partnerships at the University of Tennessee (ADEPT) Center and coordinator of the data science education program.Isabella Velásquez is part of the Developer Relations team at Posit PBC, where she works at the intersection of programming, communication, and data analysis to help people get the most out of modern data science tools.

Weitere Titel von Ryan A. Estrellado

Produktbewertungen
Nur registrierte Benutzer können Produkte bewerten