Developing Analytic Talent
Becoming a Data Scientist
(Paperback)

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Learn what it takes to succeed in the 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. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science 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.

Learn what it takes to succeed in the 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. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one–of–a–kind guide, he provides insight into the essential data science 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.

AuthorVincent Granville
BindingPaperback
EAN9781118810088
Edition1ST
ISBN1118810082
Height900 mm
Length720 mm
Width100 mm
Weight125 g
LanguageEnglish
Language TypePublished
Number Of Items1
Number Of Pages336
Package Quantity5
Product GroupBook
Publication Date2014-05-09
PublisherWiley
StudioWiley
Sales Rank67468

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General information about Developing Analytic Talent: Becoming a Data Scientist
  • The author associated with Developing Analytic Talent: Becoming a Data Scientist is Vincent Granville.
  • The EAN for Developing Analytic Talent: Becoming a Data Scientist is 9781118810088.
  • The edition for Developing Analytic Talent: Becoming a Data Scientist is 1ST.
  • The ISBN for Developing Analytic Talent: Becoming a Data Scientist is 1118810082.
  • The height for Developing Analytic Talent: Becoming a Data Scientist is 900 mm.
  • The length for Developing Analytic Talent: Becoming a Data Scientist is 720 mm.
  • The width for Developing Analytic Talent: Becoming a Data Scientist is 100 mm.
  • The weight for Developing Analytic Talent: Becoming a Data Scientist is 125 g.
  • The language for Developing Analytic Talent: Becoming a Data Scientist is English.
  • The binding of Developing Analytic Talent: Becoming a Data Scientist is Paperback.
  • The number of items for Developing Analytic Talent: Becoming a Data Scientist is 1.
  • The number of pages for Developing Analytic Talent: Becoming a Data Scientist are 336.
  • The quantity for Developing Analytic Talent: Becoming a Data Scientist in a package is 5.
  • Developing Analytic Talent: Becoming a Data Scientist is grouped in Book group of products.
  • The publication date for Developing Analytic Talent: Becoming a Data Scientist is 2014-05-09.
  • The publisher for Developing Analytic Talent: Becoming a Data Scientist is Wiley.
  • The producer for Developing Analytic Talent: Becoming a Data Scientist is Wiley.
  • The sales rank for Developing Analytic Talent: Becoming a Data Scientist is 67468.