Developing Analytic Talent: Becoming a Data Scientist (Paperback)

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)

學習最為熱門的科技工作所需的技能
哈佛商業評論稱其為21世紀最性感的科技工作。數據科學家需求量大,而這本獨特的書籍將向您展示雇主所需的技能和卓越的數據科學家與其他優秀IT專業人員之間的技能差異。數據科學涉及提取、創建和處理數據,將其轉化為商業價值。本指南討論了必要的技能,如統計和可視化技術,並涵蓋了從分析配方和數據科學技巧到常見的求職面試問題、樣本簡歷和源代碼的一切。

應用領域多種多樣:自動檢測垃圾郵件和抄襲,優化關鍵字廣告的出價價格,尋找新的抗癌分子,評估隕石撞擊的風險。本書附有案例研究,無論您是想成為數據科學家還是想雇用數據科學家,都是必讀之選。


  • 解釋了數據科學的細節、所需技能以及如何獲取這些技能,包括分析配方、標準規則、源代碼和詞彙表

  • 展示了企業所需的技能以及大數據的重要性增加了對數據科學家的需求

  • 提供了求職面試問題、樣本簡歷、薪資調查和職位廣告的示例

  • 案例研究探討了數據科學在華爾街、殭屍網絡檢測、網絡廣告等許多關鍵業務情境中的應用

培養分析人才:成為數據科學家是那些渴望從事這一熱門職業的人必讀之書,也是雇主尋找最佳候選人的必備資料。