R Data Science Essentials(Paperback)

Raja B. Koushik, Sharan Kumar Ravindran

  • 出版商: Packt Publishing
  • 出版日期: 2016-01-15
  • 售價: $1,520
  • 貴賓價: 9.5$1,444
  • 語言: 英文
  • 頁數: 154
  • 裝訂: Paperback
  • ISBN: 1785286544
  • ISBN-13: 9781785286544
  • 相關分類: R 語言Data Science
  • 下單後立即進貨 (約3~4週)

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商品描述

Key Features

  • Become a pro at making stunning visualizations and dashboards quickly and without hassle
  • For better decision making in business, apply the R programming language with the help of useful statistical techniques.
  • From seasoned authors comes a book that offers you a plethora of fast-paced techniques to detect and analyze data patterns

Book Description

With organizations increasingly embedding data science across their enterprise and with management becoming more data-driven it is an urgent requirement for analysts and managers to understand the key concept of data science. The data science concepts discussed in this book will help you make key decisions and solve the complex problems you will inevitably face in this new world.

R Data Science Essentials will introduce you to various important concepts in the field of data science using R. We start by reading data from multiple sources, then move on to processing the data, extracting hidden patterns, building predictive and forecasting models, building a recommendation engine, and communicating to the user through stunning visualizations and dashboards.

By the end of this book, you will have an understanding of some very important techniques in data science, be able to implement them using R, understand and interpret the outcomes, and know how they helps businesses make a decision.

What you will learn

  • Perform data preprocessing and basic operations on data
  • Implement visual and non-visual implementation data exploration techniques
  • Mine patterns from data using affinity and sequential analysis
  • Use different clustering algorithms and visualize them
  • Implement logistic and linear regression and find out how to evaluate and improve the performance of an algorithm
  • Extract patterns through visualization and build a forecasting algorithm
  • Build a recommendation engine using different collaborative filtering algorithms
  • Make a stunning visualization and dashboard using ggplot and R shiny

About the Author

Raja B. Koushik is a business intelligence professional with over 7 years of experience and is currently working in one of the leading international IT services companies. His primary interest lies for business intelligence technologies, such as ETL, reporting, and dashboarding, along with analytics based on statistics. He has worked with one of the world's largest companies for both their U.S. as well as UK business in the healthcare and leasing domains. He holds an engineering degree with specialization in information technology from Anna University.

Sharan Kumar Ravindran is a data scientist with over 5 years of experience and is currently working with a leading e-commerce company in India. His primary interest lies in statistics and machine learning, and he has worked with multiple customers across Europe and the U.S. in the e-commerce and IoT domains. He holds an MBA degree with specialization in marketing and business analysis. He conducts workshops, partnering with Anna University, to train their staff, research scholars, and volunteers in analytics. In addition to co-authoring Data Science Essentials with R by Packt Publishing, Sharan has also co-authored Mastering Social Media Mining with R by Packt Publishing. He maintains www.rsharankumar.com, a website with links to his social profiles and data blog.

Table of Contents

  1. Getting Started with R
  2. Exploratory Data Analysis
  3. Pattern Discovery
  4. Segmentation Using Clustering
  5. Developing Regression Models
  6. Time Series Forecasting
  7. Recommendation Engine
  8. Communicating Data Analysis

商品描述(中文翻譯)

主要特點



  • 快速且無困擾地製作令人驚豔的視覺化和儀表板

  • 應用R程式語言和有用的統計技術,以提升商業決策能力

  • 從經驗豐富的作者那裡,學習快節奏的技巧,以檢測和分析數據模式

書籍描述


隨著組織越來越多地在企業中嵌入數據科學,並且管理層越來越注重數據驅動,分析師和經理迫切需要了解數據科學的關鍵概念。本書討論的數據科學概念將幫助您做出關鍵決策,解決在這個新世界中不可避免遇到的複雜問題。


《R數據科學精要》將使用R介紹您到數據科學領域的各種重要概念。我們從多個來源讀取數據開始,然後進行數據處理,提取隱藏的模式,建立預測和預測模型,構建推薦引擎,並通過令人驚豔的視覺化和儀表板與用戶進行溝通。


通過閱讀本書,您將了解數據科學中一些非常重要的技術,能夠使用R實施這些技術,理解和解釋結果,並知道它們如何幫助企業做出決策。

您將學到什麼



  • 對數據進行預處理和基本操作

  • 實施視覺和非視覺的數據探索技術

  • 使用關聯和序列分析從數據中挖掘模式

  • 使用不同的聚類算法並對其進行可視化

  • 實施邏輯和線性回歸,並了解如何評估和改進算法的性能

  • 通過視覺化提取模式並構建預測算法

  • 使用不同的協同過濾算法構建推薦引擎

  • 使用ggplot和R shiny製作令人驚豔的視覺化和儀表板

關於作者


Raja B. Koushik是一位擁有7年經驗的商業智能專業人士,目前在一家領先的國際IT服務公司工作。他主要關注商業智能技術,如ETL、報告和儀表板,以及基於統計的分析。他曾在全球最大的公司為其美國和英國業務在醫療保健和租賃領域工作。他擁有安娜大學信息技術專業的工程學學位。


Sharan Kumar Ravindran是一位擁有5年經驗的數據科學家,目前在印度一家領先的電子商務公司工作。他主要關注統計和機器學習,並在歐洲和美國的電子商務和物聯網領域與多個客戶合作。他擁有市場營銷和業務分析專業的MBA學位。他與Packt Publishing合著了《使用R的數據科學精要》和《使用R的社交媒體挖掘》。他維護著www.rsharankumar.com,這是一個包含他社交資料和數據博客鏈接的網站。

目錄



  1. 開始使用R

  2. 探索性數據分析

  3. 模式發現

  4. 使用聚類進行分割

  5. 開發回歸模型

  6. 時間序列預測

  7. 推薦引擎

  8. 傳達數據分析