An Introduction to Data Analysis in R: Hands-On Coding, Data Mining, Visualization and Statistics from Scratch
暫譯: R資料分析入門：從零開始的實作編碼、資料探勘、視覺化與統計分析

Zamora Saiz, Alfonso, Quesada González, Carlos, Hurtado Gil, Lluís

An Introduction to Data Analysis in R: Hands-On Coding, Data Mining, Visualization and Statistics from Scratch

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商品描述

This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.

商品描述(中文翻譯)

這本教科書提供了一個易於遵循的實用指南，介紹如何使用程式語言 R 進行現代數據分析。各章節涵蓋的主題包括 R 語言的程式設計基礎、數據收集與預處理（包括網頁爬蟲）、數據視覺化以及統計方法（包括多變量分析），並在每個部分的結尾提供練習題。這本書僅需基本的統計技能，因為它在統計與數學理解及 R 的實作之間取得平衡，特別強調可重現的範例和實際應用。這本教科書主要針對數學、統計學、物理學、經濟學、金融學和商業等本科生，這些學生希望在數據分析領域發展職業生涯。對於數據科學的碩士生和希望進行數據分析的行業專業人士來說，這本書同樣具有價值。

作者簡介

Alfonso Zamora Saiz is a professor at the School of Computer Science Engineering, Technical University of Madrid, Spain. Holding a PhD in algebraic geometry from the Complutense University of Madrid (2013), he has been a visiting PhD student at Cambridge University and Columbia University, a postdoc at the IST in Lisbon, lecturer at the California State University Channel Islands and a professor at the CEU San Pablo University in Madrid. He has also worked as a quantitative analyst in the industry. His research interests include algebra, geometry and topology in pure math, as well as data analytical applications and mathematics education.

Carlos Quesada González holds a PhD in applied mathematics from the Complutense University of Madrid, Spain. He is a professor and Vice-dean of the School of Business at the CEU San Pablo University in Madrid, where he has helped to establish the Business Intelligence degree. He also teaches master courses on big data for finance and collaborates as a statistical analyst with Grant-Thornton.

Lluís Hurtado Gil is a professional data scientist at eDreams ODIGEO and holds a PhD in astrophysics from Valencia University (2016). He was a professor of statistics and econometrics for three years at CEU San Pablo University, where he also served as secretary of the Statistics and Applied Mathematics Department. He has published works on econometrics for undergraduate students and research papers on statistical applications in modern astrophysics with R code. Currently, he continues to collaborate with the International J-PAS Survey, investigating the physics of the accelerating universe. Professionally, he has specialized in the application of stochastic processes to digital marketing.

Diego Mondéjar Ruiz is a professor at the Department of Applied Mathematics and Statistics, CEU San Pablo University in Madrid, Spain. He obtained his PhD in mathematics from the Complutense University of Madrid with a thesis on topological data analysis and computational topology in 2015. In addition to having been a visiting PhD student at Stanford University and the University of Pennsylvania, he has taught mathematics, statistics and programming courses at several universities.

作者簡介(中文翻譯)

阿方索·薩莫拉·賽茲是西班牙馬德里技術大學計算機科學工程學院的教授。他於2013年在馬德里康普頓斯大學獲得代數幾何的博士學位，曾在劍橋大學和哥倫比亞大學擔任訪問博士生，並在里斯本的IST擔任博士後研究員，還曾在加州州立大學海峽島校區任教，以及在馬德里CEU聖巴布羅大學擔任教授。他還曾在業界擔任量化分析師。他的研究興趣包括純數學中的代數、幾何和拓撲，以及數據分析應用和數學教育。

卡洛斯·奎薩達·岡薩雷斯擁有西班牙馬德里康普頓斯大學的應用數學博士學位。他是馬德里CEU聖巴布羅大學商學院的教授和副院長，幫助建立了商業智慧學位。他還教授金融大數據的碩士課程，並與格蘭特·索恩頓公司合作擔任統計分析師。

路易斯·烏爾塔多·吉爾是eDreams ODIGEO的專業數據科學家，擁有2016年在瓦倫西亞大學獲得的天體物理學博士學位。他曾在CEU聖巴布羅大學教授統計學和計量經濟學三年，並擔任統計與應用數學系的秘書。他發表了針對本科生的計量經濟學著作，以及關於現代天體物理學中統計應用的研究論文，並使用R語言編寫代碼。目前，他繼續與國際J-PAS調查合作，研究加速宇宙的物理學。在專業上，他專注於隨機過程在數字行銷中的應用。

迭戈·蒙德哈爾·魯伊斯是西班牙馬德里CEU聖巴布羅大學應用數學與統計系的教授。他於2015年在馬德里康普頓斯大學獲得數學博士學位，論文主題為拓撲數據分析和計算拓撲。除了曾在斯坦福大學和賓夕法尼亞大學擔任訪問博士生外，他還在多所大學教授數學、統計學和程式設計課程。

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