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Data Science in Education Using R

Data Science in Education Using R

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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.

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Tjek vores konkurrenters priser

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.

Produktdetaljer
Sprog: Engelsk
Sider: 304
ISBN-13: 9780367422257
Indbinding: Paperback
Udgave:
ISBN-10: 0367422255
Kategori: Forskningsmetoder
Udg. Dato: 27 okt 2020
Længde: 21mm
Bredde: 246mm
Højde: 175mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 27 okt 2020
Forfatter(e) Isabella C. Velasquez, Joshua M. Rosenberg, Emily Freer, Ryan A. Estrellado


Kategori Forskningsmetoder


ISBN-13 9780367422257


Sprog Engelsk


Indbinding Paperback


Sider 304


Udgave


Længde 21mm


Bredde 246mm


Højde 175mm


Udg. Dato 27 okt 2020


Oplagsdato 27 okt 2020


Forlag Taylor & Francis Ltd