000			03952cam a2200553M 4500
001			9780367822842
003			FlBoTFG
005			20211012172020.0
006			m o d
007			cr |n|||||||||
008			200907s2020 xx o 000 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781000200904 _q(electronic bk.)
020			_a1000200906 _q(electronic bk.)
020			_a9781000200720 _q(PDF ebook)
020			_a1000200728
020			_a9781000200812 _q(Mobipocket ebook)
020			_a1000200817
020			_a9780367822842 _q(ebook)
020			_a0367822849
020			_z0367422255
020			_z9780367422257
020			_z9780367422240 (hbk.)
024	7		_a10.4324/9780367822842 _2doi
035			_a(OCoLC)1193063666 _z(OCoLC)1193126508
035			_a(OCoLC-P)1193063666
050		4	_aLB2846
072		7	_aEDU _x037000 _2bisacsh
072		7	_aSOC _x024000 _2bisacsh
072		7	_aJNM _2bicssc
082	0	4	_a370.727 _223
245	0	0	_aDATA SCIENCE IN EDUCATION USING R _h[electronic resource].
260			_a[S.l.] : _bROUTLEDGE, _c2020.
300			_a1 online resource
336			_atext _2rdacontent
336			_astill image _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
505	0		_a<P>1. Introduction: Data Science in Education -- You're Invited to the Party! 2. How to Use this Book 3. What Does Data Science in Education Look Like? 4. Special Considerations 5. Getting Started with R and RStudio 6. Foundational Skills 7. Walkthrough 1: The Education Data Science Pipeline with Online Science Class Data 8. Walkthrough 2: Approaching Gradebook Data from a Data Science Perspective 9. Walkthrough 3: Using School-Level Aggregate Data to Illuminate Educational Inequities 10. Walkthrough 4: Longitudinal Analysis with Federal Students with Disabilities Data 11. Walkthrough 5: Text Analysis with Social Media Data 12. Walkthrough 6: Exploring Relationships Using Social Network Analysis with Social Media Data 13. Walkthrough 7: The Role (and Usefulness) of Multilevel Models 14. Walkthrough 8: Predicting Students' Final Grades Using Machine Learning Methods with Online Course Data 15. Introducing Data Science Tools to Your Education Job 16. Teaching Data Science 17. Learning More 18. Additional Resources 19. Conclusion: Where to Next?</P>
520			_aData 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.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aEducational statistics _xData processing.
650		0	_aEducational evaluation _xData processing.
650		0	_aR (Computer program language)
650		7	_aEDUCATION / Research _2bisacsh
650		7	_aSOCIAL SCIENCE / Research _2bisacsh
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780367822842
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c548567 _d548502