Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)

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

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商品描述

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. 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 statistical questions.

 

Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.

商品描述(中文翻譯)

《現代R語言資料科學》是一本綜合性的資料科學教科書,針對大學生設計,結合統計和計算思維,以解決現實世界中的資料問題。這本書不僅僅著重於案例研究或編程語法,還展示了如何在最先進的R/RStudio計算環境中進行統計編程,以從各種數據中提取有意義的信息,解決引人入勝的統計問題。

現代資料科學需要統計學、計算機科學、數學和應用領域的知識緊密結合。這本書將幫助具有一定統計背景和編程經驗的讀者,培養和練習處理複雜資料科學項目所需的適當技能。該書包含多個練習題,並且組織靈活,適合教授各種學期課程。