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EMC Education Services [EMC Education Services] - Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

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EMC Education Services [EMC Education Services] Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data: summary, description and annotation

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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 team

  • Deploy a structured lifecycle approach to data analytics problems

  • Apply appropriate analytic techniques and tools to analyzing big data

  • Learn how to tell a compelling story with data to drive business action

  • Prepare for EMC Proven Professional Data Science Certification

  • Corresponding data sets are available at www.wiley.com/go/9781118876138.

    Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

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    Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

    Published by

    John Wiley & Sons, Inc. 10475 Crosspoint Boulevard

    Indianapolis, IN 46256

    www.wiley.com

    Copyright 2015 by John Wiley & Sons, Inc., Indianapolis, Indiana

    Published simultaneously in Canada

    ISBN: 978-1-118-87613-8

    ISBN: 978-1-118-87622-0 (ebk)

    ISBN: 978-1-118-87605-3 (ebk)

    Manufactured in the United States of America

    10 9 8 7 6 5 4 3 2 1

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    Credits

    Executive Editor

    Carol Long

    Project Editor

    Kelly Talbot

    Production Manager

    Kathleen Wisor

    Copy Editor

    Karen Gill

    Manager of Content Development and Assembly

    Mary Beth Wakefield

    Marketing Director

    David Mayhew

    Marketing Manager

    Carrie Sherrill

    Professional Technology and Strategy Director

    Barry Pruett

    Business Manager

    Amy Knies

    Associate Publisher

    Jim Minatel

    Project Coordinator, Cover

    Patrick Redmond

    Proofreader

    Nancy Carrasco

    Indexer

    Johnna VanHoose Dinse

    Cover Designer

    Mallesh Gurram

    About the Key Contributors

    Data Science and Big Data Analytics Discovering Analyzing Visualizing and Presenting Data - image 1David Dietrich heads the data science education team within EMC Education Services, where he leads the curriculum, strategy and course development related to Big Data Analytics and Data Science. He co-authored the first course in EMC's Data Science curriculum, two additional EMC courses focused on teaching leaders and executives about Big Data and data science, and is a contributing author and editor of this book. He has filed 14 patents in the areas of data science, data privacy, and cloud computing.

    David has been an advisor to several universities looking to develop academic programs related to data analytics, and has been a frequent speaker at conferences and industry events. He also has been a a guest lecturer at universities in the Boston area. His work has been featured in major publications including Forbes, Harvard Business Review, and the 2014 Massachusetts Big Data Report, commissioned by Governor Deval Patrick.

    Involved with analytics and technology for nearly 20 years, David has worked with many Fortune 500 companies over his career, holding multiple roles involving analytics, including managing analytics and operations teams, delivering analytic consulting engagements, managing a line of analytical software products for regulating the US banking industry, and developing Software-as-a-Service and BI-as-a-Service offerings. Additionally, David collaborated with the U.S. Federal Reserve in developing predictive models for monitoring mortgage portfolios.

    Data Science and Big Data Analytics Discovering Analyzing Visualizing and Presenting Data - image 2Barry Heller is an advisory technical education consultant at EMC Education Services. Barry is a course developer and curriculum advisor in the emerging technology areas of Big Data and data science. Prior to his current role, Barry was a consultant research scientist leading numerous analytical initiatives within EMC's Total Customer Experience organization. Early in his EMC career, he managed the statistical engineering group as well as led the data warehousing efforts in an Enterprise Resource Planning (ERP) implementation. Prior to joining EMC, Barry held managerial and analytical roles in reliability engineering functions at medical diagnostic and technology companies. During his career, he has applied his quantitative skill set to a myriad of business applications in the Customer Service, Engineering, Manufacturing, Sales/Marketing, Finance, and Legal arenas. Underscoring the importance of strong executive stakeholder engagement, many of his successes have resulted from not only focusing on the technical details of an analysis, but on the decisions that will be resulting from the analysis. Barry earned a B.S. in Computational Mathematics from the Rochester Institute of Technology and an M.A. in Mathematics from the State University of New York (SUNY) New Paltz.

    Data Science and Big Data Analytics Discovering Analyzing Visualizing and Presenting Data - image 3Beibei Yang is a Technical Education Consultant of EMC Education Services, responsible for developing several open courses at EMC related to Data Science and Big Data Analytics. Beibei has seven years of experience in the IT industry. Prior to EMC she worked as a software engineer, systems manager, and network manager for a Fortune 500 company where she introduced new technologies to improve efficiency and encourage collaboration. Beibei has published papers to prestigious conferences and has filed multiple patents. She received her Ph.D. in computer science from the University of Massachusetts Lowell. She has a passion toward natural language processing and data mining, especially using various tools and techniques to find hidden patterns and tell stories with data. Data Science and Big Data Analytics is an exciting domain where the potential of digital information is maximized for making intelligent business decisions. We believe that this is an area that will attract a lot of talented students and professionals in the short, mid, and long term.

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