Modern Data Science with R - Couverture rigide

Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.

Couverture rigide

ISBN 10 : 0367191490 ISBN 13 : 9780367191498

Editeur : Chapman & Hall/CRC, 2021

Synopsis

This textbook is designed for an undergraduate course in data science that emphasizes topics in both statistics and computer science.

A propos du livre

À propos de l?auteur

Benjamin S. Baumer is an associate professor in the Statistical & Data Sciences program at Smith College. He has been a practicing data scientist since 2004, when he became the first full-time statistical analyst for the New York Mets. Ben is a co-author of The Sabermetric Revolution and Analyzing Baseball Data with R. He received the 2019 Waller Education Award and the 2016 Significant Contributor Award from the Society for American Baseball Research.

Daniel T. Kaplan is the DeWitt Wallace emeritus professor of mathematics and computer science at Macalester College. He is the author of several textbooks on statistical modeling and statistical computing. Danny received the 2006 Macalester Excellence in Teaching award and the 2017 CAUSE Lifetime Achievement Award.

Nicholas J. Horton is Beitzel Professor of Technology and Society (Statistics and Data Science) at Amherst College. He is a Fellow of the ASA and the AAAS, co-chair of the National Academies Committee on Applied and Theoretical Statistics, recipient of a number of national teaching awards, author of a series of books on statistical computing, and actively involved in data science curriculum efforts to help students "think with data".

Détails de l'édition

• Éditeur: Chapman & Hall/CRC
• Date d'édition: 2021
• ISBN 10: 0367191490
• ISBN 13: 9780367191498
• Reliure: Relié
• Langue: anglais
• Numéro d'édition: 2
• Nombre de pages: 632
• Coordonnées du fabricant: non disponible