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.

• Paperback: 336 pages
• Publisher: Wiley; 1st edition (April 7, 2014)
• Language: English
• ISBN-10: 1118810082
• ISBN-13: 978-1118810088
• Product Dimensions: 1 x 7.5 x 9 inches
• Shipping Weight: 1.2 pounds
  

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