MARC details
| 000 -LEADER |
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03952cam a2200553M 4500 |
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9780367822842 |
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FlBoTFG |
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20211012144359.0 |
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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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200907s2020 xx o 000 0 eng d |
| 040 ## - |
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OCoLC-P |
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eng |
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OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781000200904 |
| Qualifying information |
(electronic bk.) |
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| International Standard Book Number |
1000200906 |
| Qualifying information |
(electronic bk.) |
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| International Standard Book Number |
9781000200720 |
| Qualifying information |
(PDF ebook) |
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| International Standard Book Number |
1000200728 |
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| International Standard Book Number |
9781000200812 |
| Qualifying information |
(Mobipocket ebook) |
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| International Standard Book Number |
1000200817 |
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| International Standard Book Number |
9780367822842 |
| Qualifying information |
(ebook) |
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| International Standard Book Number |
0367822849 |
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0367422255 |
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9780367422257 |
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9780367422240 (hbk.) |
| 024 7# - |
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10.4324/9780367822842 |
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doi |
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(OCoLC)1193063666 |
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(OCoLC)1193126508 |
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(OCoLC-P)1193063666 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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LB2846 |
| 072 #7 - |
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EDU |
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037000 |
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bisacsh |
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SOC |
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024000 |
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bisacsh |
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JNM |
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bicssc |
| 082 04 - |
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| Classification number |
370.727 |
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23 |
| 245 00 - TITLE STATEMENT |
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| Title |
DATA SCIENCE IN EDUCATION USING R |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
[S.l.] : |
| Name of publisher, distributor, etc |
ROUTLEDGE, |
| Date of publication, distribution, etc |
2020. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource |
| 505 0# - |
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| Formatted contents note |
<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> |
| 650 #0 - |
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| Topical term or geographic name as entry element |
Educational statistics |
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| Topical term or geographic name as entry element |
Educational evaluation |
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| Topical term or geographic name as entry element |
R (Computer program language) |
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| Topical term or geographic name as entry element |
EDUCATION / Research |
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| Topical term or geographic name as entry element |
SOCIAL SCIENCE / Research |
| 856 40 - |
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| Uniform Resource Identifier |
https://www.taylorfrancis.com/books/9780367822842 |
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| Uniform Resource Identifier |
http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 245 00 - TITLE STATEMENT |
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[electronic resource]. |
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text |
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rdacontent |
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still image |
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rdacontent |
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computer |
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rdamedia |
| 338 ## - |
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online resource |
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rdacarrier |
| 520 ## - |
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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. |
| 588 ## - |
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OCLC-licensed vendor bibliographic record. |
| 650 #0 - |
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Data processing. |
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Data processing. |
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bisacsh |
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bisacsh |
| 856 40 - |
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Taylor & Francis |
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OCLC metadata license agreement |
