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03022aam a22003738i 4500 001 AEA0EE5A969D11EBB000DAFF5DECA4DB 003 SILO 005 20210406010037 008 200430s2021 enk b 001 0 eng 010 $a 2020019952 020 $a 0367422247 020 $a 9780367422240 020 $a 0367422255 020 $a 9780367422257 035 $a (OCoLC)1155484299 040 $a DLC $b eng $e rda $c DLC $d OCLCO $d OCLCF $d SILO 042 $a pcc 050 00 $a LB2846 E78 2021 100 1 $a Estrellado, Ryan A. $e author. 245 10 $a Data science in education using R / $c Ryan A. Estrellado, Emily A. Freer, Jesse Mostipak, Joshua M. Rosenberg, Isabella C. VelaÌsquez. 263 $a 2010 264 1 $a Abingdon, Oxon ; $b Routledge, $c 2021. 300 $a pages cm 504 $a Includes bibliographical references and index. 505 0 $a Introduction: Data Science in Education -- You're Invited to the Party! -- How to Use this Book -- What Does Data Science in Education Look Like? -- Special Considerations -- Getting Started with R and RStudio -- Foundational Skills -- Walkthrough 1: The Education Data Science Pipeline with Online Science Class Data -- Walkthrough 2: Approaching Gradebook Data from a Data Science Perspective -- Walkthrough 3: Using School-Level Aggregate Data to Illuminate Educational Inequities -- Walkthrough 4: Longitudinal Analysis with Federal Students with Disabilities Data -- Walkthrough 5: Text Analysis with Social Media Data -- Walkthrough 6: Exploring Relationships Using Social Network Analysis with Social Media Data -- Walkthrough 7: The Role (and Usefulness) of Multilevel Models -- Walkthrough 8: Predicting Students' Final Grades Using Machine Learning Methods with Online Course Data -- Introducing Data Science Tools to Your Education Job -- Teaching Data Science -- Learning More -- Additional Resources -- Conclusion: Where to Next? 520 $a "This book provides educational analysts and educators with practical tools to start working in data science and data analysis - using the data usefully that is generated by school districts, government agencies, and education businesses. The authors demonstrate the principles of analysis working with R and walkthrough various scenarios and projects to show the outcome of the analysis. The book will teach education professionals to apply programming and statistics to prepare data, transform it, visualize it, and analyze it to answer questions that are pertinent to their daily roles"-- $c Provided by publisher. 650 0 $a Educational statistics $x Data processing. 650 0 $a Educational evaluation $x Data processing. 650 0 $a R (Computer program language) 776 08 $i Online version: $a Estrellado, Ryan A. $t Data science in education using R $d Abingdon, Oxon ; New York, NY : Routledge, 2021. $z 9780367822842 $w (DLC) 2020019953 941 $a 1 952 $l USUX851 $d 20240202025717.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=AEA0EE5A969D11EBB000DAFF5DECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search