Description: Modern Data Science with R, Hardcover by Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J., ISBN 0367191490, ISBN-13 9780367191498, Like New Used, Free shipping in the US "Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updatedto reflect the growing influence of the tidyverse set of packages. All code in th has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice. From a review of the first edition: "Modern Data Science with R ... is rich with examples and is guided by a strong narrative voice. What's more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician)"--
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Book Title: Modern Data Science with R
Publisher: CRC Press LLC
Publication Year: 2021
Subject: General
Number of Pages: 673 Pages
Publication Name: Modern Data Science with R
Language: English
Type: Textbook
Subject Area: Mathematics
Author: Benjamin Baumer, Nicholas J. Horton, Daniel Kaplan
Format: Hardcover
