Developing Analytic Talent: Becoming a Data Scientist (Paperback)
暫譯: 培養分析人才:成為數據科學家 (平裝本)

Vincent Granville

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商品描述

Learn the skills needed for the most in-demand tech job

Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. This guide discusses the essential skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code.

The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one.

  • Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms
  • Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists
  • Features job interview questions, sample resumes, salary surveys, and examples of job ads
  • Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations

Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates.

商品描述(中文翻譯)

學習最受歡迎的科技職位所需的技能

哈佛商業評論稱這是21世紀最性感的科技職位。數據科學家需求量大,這本獨特的書籍清楚地展示了雇主所需的技能組合,以及使優質數據科學家與其他優秀IT專業人士區分開來的能力。數據科學涉及提取、創建和處理數據,以將其轉化為商業價值。本指南討論了基本技能,如統計學和可視化技術,並涵蓋了從分析配方和數據科學技巧到常見的面試問題、範本履歷和源代碼的所有內容。

應用範圍無窮且多樣:自動檢測垃圾郵件和抄襲、優化關鍵字廣告的出價、識別對抗癌症的新分子、評估隕石撞擊的風險。這本書配有案例研究,無論你是想成為數據科學家還是想聘請一位,都是必讀之作。


  • 解釋數據科學的細節、所需技能及如何獲得這些技能,包括分析配方、標準規則、源代碼和術語字典

  • 展示公司所尋求的技能,以及大數據日益重要性如何增加對數據科學家的需求

  • 提供面試問題、範本履歷、薪資調查和職位廣告範例

  • 案例研究探討數據科學在華爾街、僵屍網絡檢測、在線廣告及許多其他商業關鍵情境中的應用

發展分析人才:成為數據科學家是那些渴望這個熱門職業選擇的人和尋求最佳候選人的雇主的必讀書籍。