Modern Data Science with R, 2nd Edition-Test Bank
Original price was: $65.00.$53.97Current price is: $53.97.
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Resource Type: Test bank
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Check out Monetary establishment for Modern Data Science with R, 2nd Edition
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ISBN-100367191490
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ISBN-13978-0367191498
From a overview of the first model: “Modern Data Science with R… is rich with examples and is guided by a robust narrative voice. What’s further, it presents an organizing framework that makes a convincing argument that info science is a course distinct from utilized statistics” (The American Statistician).
Modern Data Science with R is a whole info science textbook for undergraduates that features statistical and computational contemplating to unravel real-world info points. Comparatively than focus utterly on case analysis or programming syntax, this e-book illustrates how statistical programming throughout the state-of-the-art R/RStudio computing setting could also be leveraged to extract vital information from a variety of data throughout the service of addressing compelling questions.
The second model is updated to reflect the rising have an effect on of the tidyverse set of packages. All code throughout the e-book has been revised and styled to be further readable and easier to know. New efficiency from packages like sf, purrr, tidymodels, and tidytext is now built-in into the textual content material. All chapters have been revised, and several other different have been lower up, re-organized, or re-imagined to fulfill the shifting panorama of biggest observe.
Regarding the Creator
Benjamin S. Baumer is an affiliate professor throughout the Statistical & Data Sciences program at Smith Faculty. He has been a practising info scientist since 2004, when he turned 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 acquired the 2019 Waller Coaching Award and the 2016 Essential Contributor Award from the Society for American Baseball Evaluation.
Daniel T. Kaplan is the DeWitt Wallace emeritus professor of arithmetic and laptop computer science at Macalester Faculty. He is the creator of plenty of textbooks on statistical modeling and statistical computing. Danny acquired the 2006 Macalester Excellence in Educating award and the 2017 CAUSE Lifetime Achievement Award.
Nicholas J. Horton is Beitzel Professor of Experience and Society (Statistics and Data Science) at Amherst Faculty. He is a Fellow of the ASA and the AAAS, co-chair of the Nationwide Academies Committee on Utilized and Theoretical Statistics, recipient of quite a few nationwide educating awards, creator of a sequence of books on statistical computing, and actively involved in info science curriculum efforts to help school college students “suppose with info”.
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