Data science & big data analytics : discovering, analyzing, visualizing, and presenting data / EMC Education Services
Imprint
Indianapolis, IN : Wiley, 2015
Descript
xiii, 410 pages : illustrations ; 24 cm
SUMMARY
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science teamDeploy a structured lifecycle approach to data analytics problemsApply appropriate analytic techniques and
CONTENT
Cover; Introduction; EMC Academic Alliance; EMC Proven Professional Certification; Chapter 1: Introduction to Big Data Analytics; 1.1 Big Data Overview; 1.2 State of the Practice in Analytics; 1.3 Key Roles for the New Big Data Ecosystem; 1.4 Examples of Big Data Analytics; Summary; Exercises; Bibliography; Chapter 2: Data Analytics Lifecycle; 2.1 Data Analytics Lifecycle Overview; 2.2 Phase 1: Discovery; 2.3 Phase 2: Data Preparation; 2.4 Phase 3: Model Planning; 2.5 Phase 4: Model Building; 2.6 Phase 5: Communicate Results; 2.7 Phase 6: Operationalize