
Data Science in Education Using R
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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.
Ryan A. Estrellado has served public schools for over seventeen years as a school psychologist and administrator. Ryan writes about working with data, education and other projects at https://ryanestrellado.com. Emily A. Freer is the Director of Educational Development and Assessment at the Marquette University School of Dentistry. Learn more about Emily at https://emilyfreer.com. Jesse Mostipak is the Community Advocate for Kaggle, and has worked both as a high school science teacher and lead data scientist within education non-profits. To follow Jesse's learning adventures in Python and deep learning, head over to https://jessemaegan.com. Joshua M. Rosenberg is an Assistant Professor of STEM Education at the University of Tennessee, Knoxville. Follow Josh's work at http://joshuamrosenberg.com. Isabella C. Velásquez is a data analyst committed to nonprofit work with the goal of reducing racial and socioeconomic inequities. To follow Isabella's personal projects, join her at https://ivelasq.rbind.io.
Produktbeschreibung
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 306
- Erscheinungstermin: 27. Oktober 2020
- Englisch
- Abmessung: 244mm x 170mm x 17mm
- Gewicht: 612g
- ISBN-13: 9780367422257
- ISBN-10: 0367422255
- Artikelnr.: 60013266
Herstellerkennzeichnung
Libri GmbH
Europaallee 1
36244 Bad Hersfeld
gpsr@libri.de
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