Download the fantastic book titled Modern Data Science with R written by Benjamin S. Baumer, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Modern Data Science with R", which was released on 31 March 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.
Summary of Modern Data Science with R by Benjamin S. Baumer PDF
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). 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 updated to reflect the growing influence of the tidyverse set of packages. All code in the book 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.
Detail About Modern Data Science with R PDF
- Author : Benjamin S. Baumer
- Publisher : CRC Press
- Genre : Business & Economics
- Total Pages : 830 pages
- ISBN : 0429575394
- Release Date : 31 March 2021
- PDF File Size : 9,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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