Title Statements
- Full title :Getting a Big Data Job For Dummies.
Summary
Hone your analytic talents and become part of the next big thing Getting a Big Data Job For Dummies is the ultimate guide to landing a position in one of the fastest-growing fields in the modern economy. Learn exactly what ""big data"" means, why it's so important across all industries, and how you can obtain one of the most sought-after skill sets of the decade. This book walks you through the process of identifying your ideal big data job, shaping the perfect resume, and nailing the interview, all in one easy-to-read guide. Companies from all industries, including finance, technology, medici.
Read More ↓Edition Statements
- Publication Date:2014.
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Hoboken
- Language:eng
- Publication Date:2014.
Notes
Who's who in the consulting industry.
The Physical Object
- Description:1 online resource (268 pages).
Edition Identifiers
- ISBN:9781118903841, 1118903846, 1118903404, 9781118903407
- oclc:ocn898421976
- LC Classification:HD38.7
- Dewey Decimal:658.4038
Table of Contents
Title Page; Copyright Page; Contents at a Glance; Table of Contents; Introduction; About This Book; Foolish Assumptions; Icons Used in This Book; Beyond the Book; Where to Go from Here; Part I: Getting a Job in Big Data; Chapter 1: The Big Picture of Big Data Jobs; How We Got Here and Where We're Headed; Why companies care about big data; The future of big data jobs; Exploring Big Data Career Paths; Not everyone is a data scientist; Requirements of big data professionals; Looking at Organizations That Hire Big Data Professionals; Public sector and academia; Commercial organizations.
Corporate information technologyMarketing departments and business units; Big data firms; Consulting companies; Chapter 2: Seeing Yourself in a Big Data Job; Planning Your Journey into a New Frontier; Finding a Future Career in Big Data; The growth of big data jobs; Predictions for the next several years; Sizing Up Your Skills; Evaluating your aptitude for big data; Doing a self-assessment plan; Finding your gaps; Charting Your Path; When to fill the gaps with education; Filling gaps with experience; Planning your milestones and timeline; Measuring your results.
Chapter 3: Key Big Data ConceptsThe Fo…
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