Modern Data Science with R is popular PDF and ePub book, written by Benjamin S. Baumer in 2021-03-31, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Modern Data Science with R can be Read Online from any device for your convenience.
Modern Data Science with R Book PDF Summary
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 Book of Modern Data Science with R PDF
- Author : Benjamin S. Baumer
- Release : 31 March 2021
- Publisher : CRC Press
- ISBN : 9780429575396
- Genre : Business & Economics
- Total Page : 830 pages
- Language : English
- PDF File Size : 14,6 Mb
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