Getting Started with Data Science: Making Sense of Data with Analytics (Paperback)

Murtaza Haider

  • 出版商: IBM Press
  • 出版日期: 2015-12-13
  • 售價: $1,650
  • 貴賓價: 9.5$1,568
  • 語言: 英文
  • 頁數: 608
  • 裝訂: Paperback
  • ISBN: 0133991024
  • ISBN-13: 9780133991024
  • 相關分類: Data Science
  • 已絕版

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商品描述

Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy!

Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now.

Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories.

Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing.

You’ll master data science by answering fascinating questions, such as:
• Are religious individuals more or less likely to have extramarital affairs?
• Do attractive professors get better teaching evaluations?
• Does the higher price of cigarettes deter smoking?
• What determines housing prices more: lot size or the number of bedrooms?
• How do teenagers and older people differ in the way they use social media?
• Who is more likely to use online dating services?
• Why do some purchase iPhones and others Blackberry devices?
• Does the presence of children influence a family’s spending on alcohol?

For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how
others have approached similar challenges; selecting your data and methods; generating your statistics;
organizing your report; and telling your story. Throughout, the focus is squarely on what matters most:
transforming data into insights that are clear, accurate, and can be acted upon.
 

商品描述(中文翻譯)

透過解決有趣問題來實踐數據分析技能!《哈佛商業評論》最近稱數據科學為「21世紀最性感的工作」。對於數百萬名需要解決真實商業問題的經理、分析師和學生來說,數據科學是不可或缺的。然而,學習數據科學一直都不容易,直到現在。

《入門數據科學》的靈感來自於全球暢銷書《經濟學的奇蹟》和馬爾科姆·格拉德威爾的《局外人》:它通過一個充滿難忘故事的強大敘事來教授知識。

Murtaza Haider提供了基礎理論和技巧的資訊,不使用專業術語,並提供了豐富的實例和實踐機會。這本書不依賴特定的軟體或平台,所以你可以學習數據科學,無論你使用R、Stata、SPSS還是SAS。最重要的是,Haider教授了大多數數據科學書籍忽略的一項關鍵技能:如何使用圖形和表格講述有力的故事。每一章都圍繞著真實的研究挑戰構建,所以你始終會知道你在做什麼以及為什麼要這樣做。

你將通過回答以下有趣問題來掌握數據科學技能:
• 宗教信仰者是否更容易發生婚外情?
• 魅力教授是否獲得更好的教學評價?
• 香煙價格是否會阻止吸煙?
• 房價更多地取決於土地面積還是臥室數量?
• 青少年和老年人在使用社交媒體方面有何不同?
• 誰更有可能使用網上約會服務?
• 為什麼有些人購買iPhone,而其他人購買黑莓設備?
• 孩子的存在是否會影響家庭在酒精上的花費?

對於每個問題,你將進行以下步驟:定義問題和所需答案;探索他人如何處理類似挑戰;選擇數據和方法;生成統計數據;組織報告;並講述你的故事。整個過程的重點始終是最重要的:將數據轉化為清晰、準確且可行動的見解。