Ryan A. Estrellado, Emily Freer, Joshua M. Rosenberg, Isabella C. Velásquez

Data Science in Education Using R (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 304
• Erscheinungstermin: 26. Oktober 2020
• Englisch
• ISBN-13: 9781000200720
• Artikelnr.: 60085397

Autorenporträt

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.