Developing Analytic Talent: Becoming a Data Scientist

The definitive job search and preparation guide for data scientists Data science is one of the hottest disciplines in IT, but much of the talk is just hype. The aspiring data scientist requires a resource that covers the important topics comprehensively and avoids the hype and buzzwords surrounding data science and big data. This book will show you exactly what data science is, how it differs from computer science, how to extract value from data and, most importantly, how to develop your data science skills to obtain employment. Source code, data sets, and a dictionary for review Sample resumes, salary surveys, and sample job ads for data scientists Detail into what companies are looking for in a data scientist Authoritative analysis of the big data and analytics industry Real-world job interview questions for a competitive advantage Cases studies for understanding analytics in practice Data science tricks, recipes, and rules of thumb

Vincent Granville, Ph.D. is a data scientist with 15 years of big data, predictive modeling, and business analytics experience. He is the co-founder of Data Science Central, which includes a robust editorial platform, social interaction, forum-based technical support, the latest in technology tools and trends, and industry job opportunities.